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

• Main Authors: Abd Rahman, Rosshairy, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana
• Format: Article
• Language: English
• Published: Hindawi Publishing Corporation 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/20530/1/MPE%202016%202016%20%201%2011.pdf; http://repo.uum.edu.my/20530/; http://doi.org/10.1155/2016/3672758
• Institution: Universiti Utara Malaysia

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.