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

Abstract EN

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.