Multi-Criteria Genetic Algorithms for Solving Pig Food Problems
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
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.
Authors and Affiliations
Anon Sukstrienwong
Keywords
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