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.Thi...

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Main Authors: Abd Rahman, Rosshairy, Ramli, Razamin, Jamari, Zainoddin, Ku-Mahamud, Ku Ruhana
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2016
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/20530/1/MPE%202016%202016%20%201%2011.pdf
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author Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_facet Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
author_sort Abd Rahman, Rosshairy
collection UUM
description 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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spelling uum-205302017-01-03T07:56:53Z https://repo.uum.edu.my/id/eprint/20530/ Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation Abd Rahman, Rosshairy Ramli, Razamin Jamari, Zainoddin Ku-Mahamud, Ku Ruhana QA75 Electronic computers. Computer science 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. Hindawi Publishing Corporation 2016 Article PeerReviewed application/pdf en cc4_by https://repo.uum.edu.my/id/eprint/20530/1/MPE%202016%202016%20%201%2011.pdf Abd Rahman, Rosshairy and Ramli, Razamin and Jamari, Zainoddin and Ku-Mahamud, Ku Ruhana (2016) Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation. Mathematical Problems in Engineering, 2016. pp. 1-10. ISSN 1024-123X http://doi.org/10.1155/2016/3672758 doi:10.1155/2016/3672758 doi:10.1155/2016/3672758
spellingShingle QA75 Electronic computers. Computer science
Abd Rahman, Rosshairy
Ramli, Razamin
Jamari, Zainoddin
Ku-Mahamud, Ku Ruhana
Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title_full Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title_fullStr Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title_full_unstemmed Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title_short Evolutionary algorithm with roulette-tournament selection for solving aquaculture diet formulation
title_sort evolutionary algorithm with roulette tournament selection for solving aquaculture diet formulation
topic QA75 Electronic computers. Computer science
url https://repo.uum.edu.my/id/eprint/20530/1/MPE%202016%202016%20%201%2011.pdf
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