e-ISSN : 0975-3397
Print ISSN : 2229-5631
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ABSTRACT

Title : Multi-Criteria Genetic Algorithms for Solving Pig Food Problems
Authors : Anon Sukstrienwong
Keywords : component; genetic algorithm; multi-criteria optimization; pig food problem
Issue Date : January 2011.
Abstract :
This paper presents an algorithm based on genetic algorithms (GAs) for multi-criteria problems to solve pig food problems. The proposed algorithm called Era-GAs scheme forms pig food formulations with the aim of finding the lowest cost under the conditions of the ingredient prices and pig’s nutritional requirements such as energy, fat, protein, minerals, and vitamins. The requirements and the average price of pig food are primarily considered as multiple objectives for Era-GAs scheme. The simulation results of a proposed approach are compared with the traditional GAs. Experimental results indicate that Era-GAs scheme performs better in any environments. The advantage of the proposed approach is that it does not require any additional information about the problem.
Page(s) : 225-235
ISSN : 0975–3397
Source : Vol. 3, Issue.01

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