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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Format: | Article |
Language: | English |
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Hindawi Publishing Corporation
2016
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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. |
first_indexed | 2024-07-04T06:13:42Z |
format | Article |
id | uum-20530 |
institution | Universiti Utara Malaysia |
language | English |
last_indexed | 2024-07-04T06:13:42Z |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | eprints |
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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