Evolutionary Algorithm with Roulette-Tournament Selection for Solving Aquaculture Diet Formulation

The function of operators in an evolutionary algorithm (EA) is very crucial as the operators have a strong effect on the performance of the EA. In this paper, a new selection operator is introduced for a real valued encoding problem, which specifically exists in a shrimp diet formulation problem. Th...

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Bibliographic Details
Published in:Mathematical problems in engineering 2016-01, Vol.2016 (2016), p.1-10
Main Authors: Ku-Mahamud, Ku Ruhana, Jamari, Zainoddin, Ramli, Razamin, Abd Rahman, Rosshairy
Format: Article
Language:English
Subjects:
Aquaculture
Chromosomes
Diet
Diets
Engineering
Evolutionary algorithms
Functions (mathematics)
Genetic algorithms
Heuristic
Ingredients
Mathematical analysis
Operators
Operators (mathematics)
Optimization techniques
Parents & parenting
Performance evaluation
Shrimps
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Summary:The function of operators in an evolutionary algorithm (EA) is very crucial as the operators have a strong effect on the performance of the EA. In this paper, a new selection operator is introduced for a real valued encoding problem, which specifically exists in a shrimp diet formulation problem. This newly developed selection operator is a hybrid between two well-known established selection operators: roulette wheel and binary tournament selection. A comparison of the performance of the proposed operator and the other existing operator was made for evaluation purposes. The result shows that the proposed roulette-tournament selection is better in terms of its ability to provide many good feasible solutions when a population size of 30 is used. Thus, the proposed roulette-tournament is suitable and comparable to established selection for solving a real valued shrimp diet formulation problem. The selection operator can also be generalized to any problems related to EA.
ISSN:1024-123X
1563-5147
DOI:10.1155/2016/3672758