Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation

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Abstract

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.

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APA

Abd Rahman, R., Ramli, R., Jamari, Z., & Ku-Mahamud, K. R. (2016). Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation. Mathematical Problems in Engineering, 2016. https://doi.org/10.1155/2016/3672758

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