AN IMPROVED GENETIC ALGORITHM FOR FEED MIX PROBLEM

 

Rosshairy Abd Rahman, Razamin Ramli

 

Abstract

 

Animal feed formulation or feed mix is a pillar in animal farming industry. It is important to satisfy animal needs and at the same time increase profit margin. Thus, this paper aims to discuss a Hybrid Genetic Algorithm (GA) as a new technique to obtain a feasible solution while considering existing issues in this area. In this study, GA is hybridized with Artificial Bee Colony (ABC) algorithm with annealing injection to increase the exploration and exploitation in basic GA algorithm. Repair operator is then included in order to cater for the strictness of ingredients restriction in this ongoing study.

 

Lecture Notes in Management Science (2011) Vol. 3: 405-416

3rd International Conference on Applied Operational Research, Proceedings

© Tadbir Operational Research Group Ltd. All rights reserved.

www.tadbir.ca

 

ISSN 2008-0050 (Print)

ISSN 1927-0097 (Online)

 

ARTICLE OUTLINE

 

·         Introduction

·         Feed Mix Model For Shrimp

·         Objective Function

·         The Constraints

·         Solution Representation

·         Feed Mix Problem Solving Via Hybrid GA

·         Population Initialization

·         Local Search

·         Selection

·         Crossover

·         Marriage In Honey Bee

·         Checking For The Abandoned Solution

·         Mutation

·         The System Implementation

·         Conclusion

·         References

 

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