ÿþ<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"> <head><script src="//archive.org/includes/analytics.js?v=cf34f82" type="text/javascript"></script> <script type="text/javascript">window.addEventListener('DOMContentLoaded',function(){var v=archive_analytics.values;v.service='wb';v.server_name='wwwb-app212.us.archive.org';v.server_ms=197;archive_analytics.send_pageview({});});</script> <script type="text/javascript" src="/_static/js/bundle-playback.js?v=poeZ53Bz" charset="utf-8"></script> <script type="text/javascript" src="/_static/js/wombat.js?v=UHAOicsW" charset="utf-8"></script> <script type="text/javascript"> __wm.init("https://web.archive.org/web"); __wm.wombat("http://www.orlabanalytics.ca/icaor/icaor15_abstracts.htm","20200712151015","https://web.archive.org/","web","/_static/", "1594566615"); </script> <link rel="stylesheet" type="text/css" href="/_static/css/banner-styles.css?v=fantwOh2" /> <link rel="stylesheet" type="text/css" href="/_static/css/iconochive.css?v=qtvMKcIJ" /> <!-- End Wayback Rewrite JS Include --> <meta http-equiv="Content-Type" content="text/html; charset=unicode"> <meta name="ProgId" content="Word.Document"> <meta name="Generator" content="Microsoft Word 12"> <meta name="Originator" content="Microsoft Word 12"> <link rel="File-List" href="icaor15_abstracts_files/filelist.xml"> <link rel="Edit-Time-Data" href="icaor15_abstracts_files/editdata.mso"> <!--[if !mso]> <style> v\:* {behavior:url(#default#VML);} o\:* {behavior:url(#default#VML);} w\:* {behavior:url(#default#VML);} .shape {behavior:url(#default#VML);} </style> <![endif]--> <title>ICAOR 2015 ABSTRACTS</title> <link rel="themeData" href="icaor15_abstracts_files/themedata.thmx"> <link rel="colorSchemeMapping" href="icaor15_abstracts_files/colorschememapping.xml"> <!--[if gte mso 9]><xml> <w:WordDocument> <w:SpellingState>Clean</w:SpellingState> <w:GrammarState>Clean</w:GrammarState> <w:TrackMoves>false</w:TrackMoves> <w:TrackFormatting/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedContent>false</w:IgnoreMixedContent> <w:AlwaysShowPlaceholderText>false</w:AlwaysShowPlaceholderText> <w:DoNotPromoteQF/> <w:LidThemeOther>EN-US</w:LidThemeOther> <w:LidThemeAsian>X-NONE</w:LidThemeAsian> <w:LidThemeComplexScript>X-NONE</w:LidThemeComplexScript> <w:Compatibility> <w:BreakWrappedTables/> <w:SnapToGridInCell/> <w:WrapTextWithPunct/> <w:UseAsianBreakRules/> <w:DontGrowAutofit/> <w:SplitPgBreakAndParaMark/> <w:DontVertAlignCellWithSp/> <w:DontBreakConstrainedForcedTables/> <w:DontVertAlignInTxbx/> <w:Word11KerningPairs/> <w:CachedColBalance/> </w:Compatibility> <w:BrowserLevel>MicrosoftInternetExplorer4</w:BrowserLevel> <m:mathPr> <m:mathFont m:val="Cambria Math"/> <m:brkBin m:val="before"/> <m:brkBinSub m:val="&#45;-"/> <m:smallFrac m:val="off"/> <m:dispDef/> <m:lMargin m:val="0"/> <m:rMargin m:val="0"/> <m:defJc m:val="centerGroup"/> <m:wrapIndent m:val="1440"/> <m:intLim m:val="subSup"/> <m:naryLim m:val="undOvr"/> </m:mathPr></w:WordDocument> </xml><![endif]--><!--[if gte mso 9]><xml> <w:LatentStyles DefLockedState="false" DefUnhideWhenUsed="true" DefSemiHidden="true" DefQFormat="false" DefPriority="99" LatentStyleCount="267"> <w:LsdException Locked="false" Priority="0" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Normal"/> <w:LsdException Locked="false" Priority="9" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="heading 1"/> <w:LsdException Locked="false" Priority="9" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="heading 2"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 3"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 4"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 5"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 6"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 7"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 8"/> <w:LsdException Locked="false" Priority="9" QFormat="true" Name="heading 9"/> <w:LsdException Locked="false" Priority="39" Name="toc 1"/> <w:LsdException Locked="false" Priority="39" Name="toc 2"/> <w:LsdException Locked="false" Priority="39" Name="toc 3"/> <w:LsdException Locked="false" Priority="39" Name="toc 4"/> <w:LsdException Locked="false" Priority="39" Name="toc 5"/> <w:LsdException Locked="false" Priority="39" Name="toc 6"/> <w:LsdException Locked="false" Priority="39" Name="toc 7"/> <w:LsdException Locked="false" Priority="39" Name="toc 8"/> <w:LsdException Locked="false" Priority="39" Name="toc 9"/> <w:LsdException Locked="false" Priority="35" QFormat="true" Name="caption"/> <w:LsdException Locked="false" Priority="10" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Title"/> <w:LsdException Locked="false" Priority="1" Name="Default Paragraph Font"/> <w:LsdException Locked="false" Priority="11" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Subtitle"/> <w:LsdException Locked="false" Priority="22" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Strong"/> <w:LsdException Locked="false" Priority="20" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Emphasis"/> <w:LsdException Locked="false" Priority="59" SemiHidden="false" UnhideWhenUsed="false" Name="Table Grid"/> <w:LsdException Locked="false" UnhideWhenUsed="false" Name="Placeholder Text"/> <w:LsdException Locked="false" Priority="1" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="No Spacing"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 1"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 1"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 1"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 1"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 1"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 1"/> <w:LsdException Locked="false" UnhideWhenUsed="false" Name="Revision"/> <w:LsdException Locked="false" Priority="34" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="List Paragraph"/> <w:LsdException Locked="false" Priority="29" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Quote"/> <w:LsdException Locked="false" Priority="30" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Intense Quote"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 1"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 1"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 1"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 1"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 1"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 1"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 1"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 1"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 2"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 2"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 2"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 2"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 2"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 2"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 2"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 2"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 2"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 2"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 2"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 2"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 2"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 2"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 3"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 3"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 3"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 3"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 3"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 3"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 3"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 3"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 3"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 3"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 3"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 3"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 3"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 3"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 4"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 4"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 4"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 4"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 4"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 4"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 4"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 4"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 4"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 4"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 4"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 4"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 4"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 4"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 5"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 5"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 5"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 5"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 5"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 5"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 5"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 5"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 5"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 5"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 5"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 5"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 5"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 5"/> <w:LsdException Locked="false" Priority="60" SemiHidden="false" UnhideWhenUsed="false" Name="Light Shading Accent 6"/> <w:LsdException Locked="false" Priority="61" SemiHidden="false" UnhideWhenUsed="false" Name="Light List Accent 6"/> <w:LsdException Locked="false" Priority="62" SemiHidden="false" UnhideWhenUsed="false" Name="Light Grid Accent 6"/> <w:LsdException Locked="false" Priority="63" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 1 Accent 6"/> <w:LsdException Locked="false" Priority="64" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Shading 2 Accent 6"/> <w:LsdException Locked="false" Priority="65" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 1 Accent 6"/> <w:LsdException Locked="false" Priority="66" SemiHidden="false" UnhideWhenUsed="false" Name="Medium List 2 Accent 6"/> <w:LsdException Locked="false" Priority="67" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 1 Accent 6"/> <w:LsdException Locked="false" Priority="68" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 2 Accent 6"/> <w:LsdException Locked="false" Priority="69" SemiHidden="false" UnhideWhenUsed="false" Name="Medium Grid 3 Accent 6"/> <w:LsdException Locked="false" Priority="70" SemiHidden="false" UnhideWhenUsed="false" Name="Dark List Accent 6"/> <w:LsdException Locked="false" Priority="71" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Shading Accent 6"/> <w:LsdException Locked="false" Priority="72" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful List Accent 6"/> <w:LsdException Locked="false" Priority="73" SemiHidden="false" UnhideWhenUsed="false" Name="Colorful Grid Accent 6"/> <w:LsdException Locked="false" Priority="19" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Subtle Emphasis"/> <w:LsdException Locked="false" Priority="21" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Intense Emphasis"/> <w:LsdException Locked="false" Priority="31" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Subtle Reference"/> <w:LsdException Locked="false" Priority="32" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Intense Reference"/> <w:LsdException Locked="false" Priority="33" SemiHidden="false" UnhideWhenUsed="false" QFormat="true" Name="Book Title"/> <w:LsdException Locked="false" Priority="37" Name="Bibliography"/> <w:LsdException Locked="false" Priority="39" QFormat="true" Name="TOC Heading"/> </w:LatentStyles> </xml><![endif]--> <style> <!-- /* Font Definitions */ @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:1; mso-generic-font-family:roman; mso-font-format:other; mso-font-pitch:variable; mso-font-signature:0 0 0 0 0 0;} @font-face {font-family:Cambria; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1073743103 0 0 415 0;} @font-face {font-family:Tahoma; panose-1:2 11 6 4 3 5 4 4 2 4; mso-font-charset:0; mso-generic-font-family:swiss; mso-font-pitch:variable; mso-font-signature:-520081665 -1073717157 41 0 66047 0;} /* Style Definitions */ p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black;} h1 {mso-style-priority:9; mso-style-unhide:no; mso-style-qformat:yes; mso-style-link:"Heading 1 Char"; margin-top:0cm; margin-right:0cm; margin-bottom:11.25pt; margin-left:0cm; text-align:center; mso-pagination:widow-orphan; mso-outline-level:1; font-size:24.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black; font-weight:bold;} h2 {mso-style-priority:9; mso-style-unhide:no; mso-style-qformat:yes; mso-style-link:"Heading 2 Char"; margin-top:0cm; margin-right:0cm; margin-bottom:24.0pt; margin-left:0cm; text-align:justify; mso-pagination:widow-orphan; mso-outline-level:2; font-size:18.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black; font-weight:bold;} a:link, span.MsoHyperlink {mso-style-noshow:yes; mso-style-priority:99; color:blue; text-decoration:underline; text-underline:single;} a:visited, span.MsoHyperlinkFollowed {mso-style-noshow:yes; mso-style-priority:99; color:purple; text-decoration:underline; text-underline:single;} p {mso-style-noshow:yes; mso-style-priority:99; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black;} p.MsoAcetate, li.MsoAcetate, div.MsoAcetate {mso-style-noshow:yes; mso-style-priority:99; mso-style-link:"Balloon Text Char"; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:8.0pt; font-family:"Tahoma","sans-serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black;} span.Heading1Char {mso-style-name:"Heading 1 Char"; mso-style-priority:9; mso-style-unhide:no; mso-style-locked:yes; mso-style-link:"Heading 1"; font-family:"Times New Roman","serif"; mso-ascii-font-family:"Times New Roman"; mso-hansi-font-family:"Times New Roman"; mso-bidi-font-family:"Times New Roman"; color:black; font-weight:bold;} span.Heading2Char {mso-style-name:"Heading 2 Char"; mso-style-noshow:yes; mso-style-priority:9; mso-style-unhide:no; mso-style-locked:yes; mso-style-link:"Heading 2"; font-family:"Times New Roman","serif"; mso-ascii-font-family:"Times New Roman"; mso-hansi-font-family:"Times New Roman"; mso-bidi-font-family:"Times New Roman"; color:black; font-weight:bold;} span.BalloonTextChar {mso-style-name:"Balloon Text Char"; mso-style-noshow:yes; mso-style-priority:99; mso-style-unhide:no; mso-style-locked:yes; mso-style-link:"Balloon Text"; font-family:"Tahoma","sans-serif"; mso-ascii-font-family:Tahoma; mso-hansi-font-family:Tahoma; mso-bidi-font-family:Tahoma; color:black;} p.msochpdefault, li.msochpdefault, div.msochpdefault {mso-style-name:msochpdefault; mso-style-noshow:yes; mso-style-priority:99; mso-style-unhide:no; margin:0cm; margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; color:black;} span.SpellE {mso-style-name:""; mso-spl-e:yes;} span.GramE {mso-style-name:""; mso-gram-e:yes;} .MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt;} @page WordSection1 {size:612.0pt 792.0pt; margin:72.0pt 72.0pt 72.0pt 72.0pt; mso-header-margin:36.0pt; mso-footer-margin:36.0pt; mso-paper-source:0;} div.WordSection1 {page:WordSection1;} --> </style> <!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} </style> <![endif]--><!--[if gte mso 9]><xml> <o:shapedefaults v:ext="edit" spidmax="35842"/> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext="edit"> <o:idmap v:ext="edit" data="1"/> </o:shapelayout></xml><![endif]--> </head> <body bgcolor="white" lang="EN-US" link="blue" vlink="purple" style="tab-interval:36.0pt"> <div class="WordSection1"> <div> <h1 align="left" style="margin-bottom:0cm;margin-bottom:.0001pt;text-align:left"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-fareast-font-family:&quot;Times New Roman&quot;;mso-hansi-theme-font:major-latin; color:windowtext">ICAOR 2015 ABSTRACTS</span><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-fareast-font-family: &quot;Times New Roman&quot;;mso-hansi-theme-font:major-latin"><o:p></o:p></span></h1> <p><b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin;color:windowtext">7<sup>TH</sup> INTERNATIONAL CONFERENCE ON APPLIED OPERATIONAL RESEARCH<o:p></o:p></span></b></p> <p><b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin;color:windowtext">15-17 JULY 2015, VIENNA, AUSTRIA</span></b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin"><o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">IMPLEMENTING MORE SUSTAINABLE TRANSPORT FOR HOME SERVICE PROVIDERS - CHALLENGES, METHODS AND IMPLICATIONS<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Christian <span class="SpellE">Fikar</span> <sup>1</sup> and Patrick Hirsch <sup>1</sup><o:p></o:p></span></p> <p><span class="GramE"><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Institute of Production and Logistics, University of Natural Resources and Life Sciences, Vienna, <span class="SpellE">Feistmantelstr</span>.</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> 4, <span class="GramE">A</span> 1180 Wien, Austria<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract.</span></b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin"> <span class="SpellE">Urbanisation</span> causes various challenges (e.g., congestions, limited parking space) for service providers performing tasks at customer's premises. Up to now, the staff uses mainly individual cars. In this talk, we investigate the optimisation of different alternative transportation concepts for a major Austrian home health care provider. These include trip sharing with walking-routes as well as routing and scheduling with bikes and public transport. The concepts lead to interesting optimisation problems due to <span class="SpellE">synchronisation</span> constraints, interdependencies between different routes and time-dependencies. The results show substantial potential to reduce the number of required vehicles, save travel time and to enable more sustainable operations.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">MATHEURISTIC OPTIMIZATION FOR ROBUST HOME HEALTH CARE SERVICES<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Thi</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Viet Ly Nguyen <sup>1</sup>, <span class="SpellE">Nihat</span> <span class="SpellE">Engin</span> <span class="SpellE">Toklu</span> <sup>1</sup> and Roberto <span class="SpellE">Montemanni</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Dalle</span> <span class="SpellE">Molle</span> Institute for Artificial Intelligence (IDSIA  USI/SUPSI), Galleria 2, 6928 <span class="SpellE">Manno</span>, Switzerland<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">In modern societies, home health care services are becoming increasingly important. Having optimized solutions on operational issues can play a potential role in offering patients high quality medical service as well as taking in better regard, the needs of care providers. An important issue to consider is the uncertainty on the problem data. In more details, an optimal solution that was obtained under the assumption that the collected problem data are <span class="GramE">accurate,</span> can turn out to be infeasible when it is implemented in the reality, because the data encountered in the reality might differ from the assumed data in the optimization model. In this paper, we consider the uncertainty on the availability of the nurses (e.g. they might call sick on short notice), and we follow a robust optimization approach to handle the case when nurses are unexpectedly unable to operate. A <span class="SpellE">matheuristic</span> method based on a constructive heuristic combined with a genetic algorithm and mathematical programming is proposed to provide a near-optimal solution both in terms of nurse-patient assignment and nurse scheduling and routing.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">A CROWD SIMULATION FOR A LARGE-SCALE INDOOR VENUE - A CASE STUDY OF TAIPEI ARENA<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Yun</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin">-Zhu Lin <sup>1</sup>, Ming-Gin Wu <sup>1</sup> and <span class="SpellE">Che</span>-Fu <span class="SpellE">Hsueh</span> <sup>2</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Department of Civil Engineering, Chung Yuan Christian University, <span class="SpellE">Taoyuan</span> City, Taiwan<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="GramE">Department</span> of Marketing and Distribution Management, <span class="SpellE">Chien</span> <span class="SpellE">Hsin</span> University of Science and Technology, <span class="SpellE">Taoyuan</span> City, Taiwan<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Previous research into crowd evacuation simulation has focused on exploring general buildings and urban pedestrian traffic. Crowd evacuation simulation of large-scale venues has been limited. This study verifies the applicability of adopting Pathfinder 2011, agent-based simulation software, to develop a simulation model for crowd evacuation at a large-scale venue. Taipei Arena was chosen for the case study. Different evacuation simulation conditions and the results demonstrate that the steering movement mode of Pathfinder is suitable for simulating the movement of heterogeneous crowds and L-shaped movement in stairways and raised seating areas. Two functions of Pathfinder,  occupant grouping and  designation of evacuation path can construct an occupant movement model of a large-scaled indoor venue and each evacuation path to consist of one final destination (main entrance) and one mid-point (exits in the seating area or corridor platform). Such guidance is much more important for people seated in raised seating areas on higher floors within a large-scale indoor venue than for other areas in this venue, due to the limitations of stair width and inclination.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">USING MULTI-START BIASED RANDOMIZATION OF HEURISTICS TO SOLVE THE VEHICLE ROUTING PROBLEM WITH CLUSTERED BACKHAULS<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Javier <span class="SpellE">Belloso</span> <sup>1</sup>, Angel A. Juan <sup>2</sup>, Javier <span class="SpellE">Faulin</span> <sup>1</sup> and <span class="SpellE">Adrián</span> Serrano <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Public University of Navarra, 31006 Pamplona, Spain<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Open University of Catalonia, 08018 Barcelona, Spain<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">We consider the Vehicle Routing Problem with Backhauls (VRPB), where delivery and pick-up customers are to be served from a central depot. In particular, the group or cluster of delivery customers has to be served before the first pickup customer can be visited. Thus, the problem belongs to a sub-class called VRP with Clustered Backhauls (VRPCB). Our resolution procedure uses a multi-start approach designed to avoid the local minima and to be easily parallelizable. The algorithm employs a biased-randomized version of the classical savings heuristic, together with some local search processes. During the solution-construction process, the edges that connect one delivery customer with a pick-up customer are penalized to be chosen at a later stage. The savings list of edges is randomized using a skewed probability distribution. Some classical benchmark instances for the VRPB were selected in order to compare the efficiency of our approach.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">OPTIMIZING NON-COMBATANT EVACUATION OPERATION TRANSPORTATION LOGISTICS<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Bohdan</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> L. <span class="SpellE">Kaluzny</span> <sup>1</sup> and Jean-Denis Caron <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Defence Research and Development Canada, 101 <span class="GramE">Colonel</span> By Dr, Ottawa, ON, K1A 0K2 Canada<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">A non-combatant evacuation operation (NEO) is designed to deploy forces in a short notice situation as a result of a deteriorating situation in an affected nation that is threatening the safety of citizens or eligible persons living abroad. An optimization model was developed to study the feasibility and logistical complexities of transportation asset usage of a NEO, enabling decision makers to better plan and prepare NEO execution.<o:p></o:p></span></p> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">SIGNALING INFORMATION IN A VERTICAL DECENTRALIZED SUPPLY CHAIN<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Huajiang</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Luo</span> <sup>1</sup>, <span class="SpellE">Weixin</span> Shang <sup>1</sup> and <span class="SpellE">Tian</span> Li <sup>2</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Faculty of Business, <span class="SpellE">Lingnan</span> University, <span class="SpellE">Tuen</span> <span class="SpellE">Mun</span>, Hong Kong<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="GramE">School</span> of Business, East China University of Science and Technology, Shanghai, China<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract.</span></b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin"> We consider a decentralized supply chain with one manufacturer and one retailer who are engaged in a sequential-move game. The manufacturer and the retailer decide the wholesale price and retail margin to maximize their respective profits. The manufacturer possesses some private information about future demand, and hence enjoys advantage from both <span class="SpellE">Stackelberg</span> leadership and information over the retailer. Though the retailer cannot observe the manufacturer's private information, he can <span class="GramE">inferred</span> it from leader's wholesale price. However, to induce the retailer to reduce retail margin, the manufacturer has to lower down the wholesale price to signal a low demand which benefits the retailer. The general research question is whether the manufacturer's profit is still higher than the retailer's profit, as in the sequential-move game without private demand information. We find that information leakage cost may outweigh the benefit from <span class="SpellE">Stackelberg</span> leadership, and characterize conditions under which the retailer's profit is higher than that of the manufacturer.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">SCHEDULING GROUND-HANDLING SERVICES: A BI-OBJECTIVE APPROACH<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Daniel <span class="SpellE">Guimarans</span> <sup>1</sup>, Silvia <span class="SpellE">Padrón</span> <sup>2</sup>, Juan José Ramos <sup>2</sup>, <span class="SpellE">Salma</span> <span class="SpellE">Fitouri-Trabelsi</span> <sup>3</sup> and Liana <span class="SpellE">Napalkova</span> <sup>2</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Optimisation Research Group, National ICT Australia (NICTA), 13 Garden Street, Eveleigh NSW 2015, Australia<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Dpt. Telecommunication and Systems Engineering, <span class="SpellE">Universitat</span> <span class="SpellE">Autònoma</span> de Barcelona, <span class="SpellE">Emprius</span> 2, 08202 Sabadell, Barcelona, Spain<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">3</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Mathématiques</span> <span class="SpellE">Apliquées</span>, <span class="SpellE">Informatique</span> <span class="GramE">et</span> <span class="SpellE">Automatique</span> pour <span class="SpellE">l Aérien</span> &amp; Air Transportation Department, <span class="SpellE">L École</span> <span class="SpellE">Nationale</span> de <span class="SpellE">l Aviation</span> <span class="SpellE">Civile</span> (ENAC), 7 Avenue <span class="SpellE">Édouard</span> <span class="SpellE">Belin</span>, 31055 Toulouse, France<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Preparing an aircraft for its next flight requires a set of interrelated services involving different types of vehicles. Planning decisions concerning each resource affect the scheduling of the other activities and the performance of the other resources. Considering the different operations and vehicles instead of scheduling each resource in isolation allows integrating decisions and contributing to the optimisation of the overall ground-handling process. This goal is defined through two objectives: (<span class="SpellE">i</span>) <span class="SpellE">minimising</span> the waiting time before an operation starts and the total reduction of corresponding time windows, and (ii) <span class="SpellE">minimising</span> the total completion time of turnarounds. We combine different technologies and techniques to solve the problem efficiently. A new method to address this bi-objective optimisation problem is also proposed. The approach has been tested using real data from a major Spanish airport, obtaining different solutions that represent a trade-off between both objectives. Experimental results permit inferring interesting criteria on how to <span class="SpellE">optimise</span> each resource, considering the effect on other operations. This outcome leads to more robust global solutions and to savings in resources utilization.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">PUSHBACK DELAYS ON THE ROUTING AND SCHEDULING PROBLEM OF AIRCRAFT<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Christofas</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Stergianos</span> <sup>1</sup>, Jason <span class="SpellE">Atkin</span> <sup>1</sup>, Patrick <span class="SpellE">Schittekat</span> <sup>2</sup>, Tomas Eric <span class="SpellE">Nordlander</span> <sup>2</sup>, Chris <span class="SpellE">Gerada</span> <sup>1</sup> and <span class="SpellE">Herve</span> <span class="SpellE">Morvan</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Institute for Aerospace Technology, <span class="GramE">The</span> University of Nottingham, Nottingham, UK<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> SINTEF ICT, Department of Applied Mathematics, Oslo, Norway<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">With the constant increase in air traffic, airports are facing capacity problems. Optimisation methods for specific airport processes are starting to be increasingly <span class="SpellE">utilised</span> by many large airports. However many processes happen in parallel and a more complex optimisation model is required, which can consider multiple processes simultaneously. This paper focuses on the importance of the pushback process in the routing process. It investigates whether taking the pushback process into consideration can predict delays that otherwise would pass unnoticed. Having an accurate model for the pushback process is important for this and identifying all of the delays that may occur can lead to more accurate and realistic models that can be used in the decision making process for ground movement operations. After testing a model with a more detailed pushback process we found that a lot of the delays are not predicted if the process is not explicitly <span class="SpellE">modelled</span>. Having a more precise model with accurate movements of aircraft is highly important for an integrated model and will allow ground movement models to be used for more reliable integrated decision making systems on airports. <span class="SpellE">Minimising</span> these delays can help airports increase their capacity and become more environmentally friendly.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">INCREASING TRUST IN OPTIMIZATION BASED ATM SYSTEMS THROUGH TRAINING<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Tomas Eric <span class="SpellE">Nordlander</span> <sup>1</sup>, <span class="SpellE">Amela</span> <span class="SpellE">Karahasanovi</span> <sup>2</sup> and Patrick <span class="SpellE">Schittekat</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> SINTEF ICT, Department of Applied Mathematics, Oslo, Norway<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> SINTEF ICT, Department of Networked Systems and Services, Oslo, Norway<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Air Traffic Management is the complex task of safely managing the flow of aircrafts. This task needs to be solved efficiently to avoid hindering the growth of the aviation sector. Optimization-based decision support tools could assist but, this being a safety-critical and conservative domain, a high level of trust needs to be in place. The amount of trust depends on the level of automation and familiarity with the tools. We argue that this needed trust could best be built if optimization based tools are used in the training of air traffic controllers. We discuss how this training can help air traffic controllers and the model of optimization.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">PRUNING RULES FOR OPTIMAL RUNWAY SEQUENCING WITH AIRLINE PREFERENCES<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Geert</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> De <span class="SpellE">Maere</span> <sup>1</sup> and Jason A.D. <span class="SpellE">Atkin</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Automated Scheduling, Optimisation and Planning Group (ASAP), School of Computer Science, <span class="GramE">The</span> University of Nottingham, Nottingham, UK<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">This paper presents a new pruned dynamic programming approach to solve real world runway sequencing problems in which delay cost differentiation between the different aircraft is applied. The pruning rules are based on more generic dominance rules and properties of the objective function that enable to significantly reduce the size of the state space. Optimal results for publically available benchmark instances are reported, and obtained at an extremely low computational cost.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">PERFORMANCE OPTIMIZATION IN RETAIL BUSINESS USING REAL-TIME PREDICTIVE ANALYTICS<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Nizar</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Zaarour</span> <sup>1</sup> and Emanuel <span class="SpellE">Melachrinoudis</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Northeastern University, 360 Huntington Avenue, Boston, MA 02115 USA<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Predictive analytics has become more than a necessity in today s competitive market and technology based world. Traditional data analysis tools such as regression analysis, numerical taxonomy, cluster analysis, and other multivariate statistical methods are not sufficient anymore to handle all the complicated intricacies and big data sets. To compensate for these shortcomings, more advanced tools have emerged, which are based on artificial intelligence, pattern recognition, statistics, machine learning, and many other data mining tools. In this paper, we develop a model that focuses on collecting real-time data for the purpose of recognizing patterns in the retail and point-of-service business, and improving the sales and customer satisfaction. We were able to identify a large number of predictors affecting the behavior of sales; however, this particular paper focuses on one specific independent variable, the number of people involved in each transaction in a restaurant business. Breakdown of the model along with the results is presented, and a summary of planned future research, involving the impact of other predictors, is discussed at the end of the paper. One of the major benefits of this <span class="GramE">research,</span> is the win-win-win approach to make sure that we optimize the satisfaction of all parties involved: management, staff, and customers.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">FRAUDULENT URL CLASSIFICATION WITH AN RBFNN<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Dirk <span class="SpellE">Snyman</span> <sup>1</sup>, Tiny du <span class="SpellE">Toit</span> <sup>1</sup> and <span class="SpellE">Hennie</span> Kruger <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> North-West University, Potchefstroom Campus, Potchefstroom, South Africa<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Phishing attacks are a social engineering scam which aim to steal sensitive information like personal, financial and social details, from unsuspecting consumers. It is based on the premise that a significant number of consumers are ignorant of the technical security practices in a digital environment. These attacks establish trust from the user in order to lull them into a false sense of familiarity in which they are more likely to freely supply their identifying information. In this study an intelligent approach to phishing detection is presented. The method is based on the information contained in the Uniform Resource Locator (URL) that points to a phishing website. These URLs are <span class="SpellE">analysed</span> and classified as malicious or safe, by a new automated Radial Basis Function Neural Network (RBFNN) construction algorithm. This technique determines the best neural network architecture for a specific classification task and uses an in-sample model selection criterion. Example URLs which were collected from real world repositories, Open Directory and <span class="SpellE">Phishtank</span>, are used to train and evaluate the neural network. The results of a cross-validation experiment setup are presented. It was found that the RBFNN algorithm outperforms a naïve <span class="SpellE">Bayes</span> classifier baseline which is considered to be a standard text classification baseline in literature due to its simple structure and linear execution.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">ROBUSTNESS AND MATHEURISTICS<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Roberto <span class="SpellE">Montemanni</span> <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> <span class="SpellE">Dalle</span> <span class="SpellE">Molle</span> Institute for Artificial Intelligence (IDSIA  USI/SUPSI), <span class="SpellE">Manno</span>, Switzerland<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Uncertainty is part of our everyday life. When optimizing a problem, it should therefore be taken into account. In the last 15 years great attention has been devoted to robust optimization, where the main effort has been in plugging uncertainty into the mathematical models describing the problems to optimize. A major challenge has been to treat uncertainty without (dramatically) increasing the computational complexity of the solving methods. However, most of the studies have been on the side of mathematical programming and exact methods, with only a very limited attention to heuristic approaches. In this talk we discuss how the results achieved for robustness in mathematical programming can be embedded directly into metaheuristic methods, obtaining the so-called <span class="SpellE">matheuristic</span> approaches. An important characteristic of these approaches is to be able to take uncertainty into account without a drastic increase in their computational requirements. The latter property is of great interest for practitioners since real-life problems cannot be normally treated by <span class="GramE">exact,</span> or demanding methods in general, due to their large size. Extensions involving solutions pools and parallelization, topics again of great interest for <span class="GramE">practitioners,</span> are finally discussed. The robust <span class="SpellE">matheuristic</span> framework will be illustrated with examples and results on vehicle routing problems.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">APPLYING AN IMMUNE ANT COLONY SYSTEM ALGORITHM TO SOLVE AN INTEGRATED FLEXIBLE BAY FACILITY LAYOUT PROBLEM WITH INPUT/OUTPUT POINTS DESIGN<o:p></o:p></span></p> <p><span class="SpellE"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Yun</span></span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin">-Zhu Lin <sup>1</sup> and Yu-Chin Lin <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Department of Civil Engineering, Chung Yuan Christian University, <span class="SpellE">Taoyuan</span> City, Taiwan<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Traditionally, most studies use a two-stage approach to solve a block layout problem with input/output points design. To make the planning results more practical and measure distance between facilities more precisely, this study integrates a flexible bay facility layout problem and input/output points design using a contour distance metric. In this study, an ant colony system (ACS), <span class="SpellE">clonal</span> selection algorithm (CSA) and shortest path algorithm are combined, and an immune ant colony system (IACS) algorithm is proposed to solve an unequal-area facility layout problem with input/output points design. Operations of CSA are embedded in the ACS to improve the solution quality of initial ant solutions and increase the differences between the ant solutions, and the search capability of IACS is thus enhanced. Nine international benchmark problems are used to test the algorithm efficiency of IACS. When compared to previous research, IACS can deliver new and better solutions.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">FLEET SIZE AND MIX VEHICLE ROUTING PROBLEM WITH BACKHAULS: A MULTI-START APPROACH<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Javier <span class="SpellE">Belloso</span> <sup>1</sup>, Angel A. Juan <sup>2</sup>, Javier <span class="SpellE">Faulin</span> <sup>1</sup> and <span class="SpellE">Adrián</span> Serrano <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Public University of Navarra, 31006 Pamplona, Spain<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Open University of Catalonia, 08018 Barcelona, Spain<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract.</span></b><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin"> We consider the Fleet Mixed Vehicle Routing Problem with Backhauls (FSMVRPB), where delivery and pick-up customers are going to be served from a central depot and the fleet of vehicles is unlimited and heterogeneous. The proposed algorithm utilizes a multi-start approach to prevent the potential solution of being attracted by local minima. This method combines three randomized criteria, the first one for selecting a vehicle type and the second one for sorting the savings list as a result of applying an efficient method. Once the vehicle type is selected, the algorithm solves the homogeneous VRPB and promotes a number of routes to the heterogeneous solution using the third randomized criteria. For this selection, it is considered the range between 0 and the total number of routes solving the homogeneous problem. Benchmark instances for the FSMVRPB have been selected in order to assess the efficiency of our approach, and results show that our approach is able to provide promising solutions by improving some of the best solutions reported in the literature.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">HYBRID-DEMAND QUEUEING FOR COMMUTER PARKING<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Charles D. Pack <sup>1</sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> Monmouth University, 170 Hudson Ave., Red Bank, NJ USA<o:p></o:p></span></p> <p><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt; font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font: major-latin">Abstract. </span></b><span style="font-size:9.0pt;font-family: &quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin;mso-hansi-theme-font:major-latin">Registered (finite-source) commuters and (infinite-source) visitors share a commuter parking lot. We develop a novel, hybrid-demand equilibrium <span class="SpellE">queueing</span> model, with demand dynamics, for use in traffic-engineering these lots. Our transient version can help analyze the daily lot startup process. Finally, we propose criteria and take initial steps to evaluate our models. While the problem is not new, there are essentially no other published analytical results or detailed studies regarding commuter lot engineering.<o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">ESG PORTFOLIO OPTIMIZATION: INTEGRATING COMBINATORIAL GOAL PROGRAMMING AND CORPORATE RESPONSIBILITY RATINGS<o:p></o:p></span></p> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">Gordon H. Dash <sup>1</sup> and Nina <span class="SpellE">Kajiji</span> <sup>1<span class="GramE">,2</span></sup><o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">1</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> University of Rhode Island, Kingston, USA<o:p></o:p></span></p> <p><sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">2</span></sup><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin"> The NKD-Group, Inc. USA<o:p></o:p></span></p> <p class="MsoNormal"><b style="mso-bidi-font-weight:normal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin">Abstract. </span></b><span style="font-size: 9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-hansi-theme-font:major-latin">Investment approaches that embrace environmental, sustainability and governance factors (ESG factors) have shown evidence of providing investors with potential long-term investment performance advantages. With global approaches to investing becoming more predominant among various investment professionals, ESG factors provide portfolio managers with a wider view of a company's risk-return profile across systemic relationships. This paper introduces the combinatorial nonlinear multiple objective optimization model (MINLGP) of Dash and <span class="SpellE">Kajiji</span> (2014) to optimize a goal-oriented ESG portfolio based on the Thomson Reuters Corporate Responsibility Ratings. Temporal instability of correlation profiles is also treated by the proposed model. Following similar approaches in the literature, the MINLGP optimized portfolio is rebalanced periodically to incorporate new correlation information. During the interim periods between rebalancing periods, an active real-time futures-based hedging strategy is invoked to stabilize or enhance the desired risk-return outcomes. A temporal simulation of a MINLGP portfolio is undertaken by invoking the investment profile of an affiliate of the global non-profit service organization  World Association of Girl Guides and Girl Scouts (WAGGGS).</span><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font:major-latin; mso-fareast-font-family:&quot;Times New Roman&quot;;mso-hansi-theme-font:major-latin; color:windowtext"> <o:p></o:p></span></p> <div> <div> <div> <div> <div class="MsoNormal"><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;; mso-ascii-theme-font:major-latin;mso-fareast-font-family:&quot;Times New Roman&quot;; mso-hansi-theme-font:major-latin;color:windowtext"> <hr size="2" width="100%" noshade style="color:#A0A0A0" align="left"> </span></div> </div> </div> </div> </div> <p><span style="font-size:9.0pt;font-family:&quot;Cambria&quot;,&quot;serif&quot;;mso-ascii-theme-font: major-latin;mso-hansi-theme-font:major-latin">© ORLab Analytics Inc.<o:p></o:p></span></p> </div> </div> </body> </html> <!-- FILE ARCHIVED ON 15:10:15 Jul 12, 2020 AND RETRIEVED FROM THE INTERNET ARCHIVE ON 15:04:24 Feb 26, 2022. JAVASCRIPT APPENDED BY WAYBACK MACHINE, COPYRIGHT INTERNET ARCHIVE. ALL OTHER CONTENT MAY ALSO BE PROTECTED BY COPYRIGHT (17 U.S.C. SECTION 108(a)(3)). --> <!-- playback timings (ms): captures_list: 135.865 exclusion.robots: 0.081 exclusion.robots.policy: 0.075 RedisCDXSource: 1.071 esindex: 0.007 LoadShardBlock: 117.299 (3) PetaboxLoader3.datanode: 116.409 (4) CDXLines.iter: 15.438 (3) load_resource: 56.156 -->