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The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm

In this paper, a crossover factor, fTIG is introduced to the Finite Persisting Sphere Genetic Algorithm (FPSGA). The factor provides a variable range of the loop in the process of Finite Persisting Sphere. By the existing of the variable range, the risk to have too large number of loop or too small...

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Main Authors: Kamil K., Chong K.H., Tiong S.K., Yeap K.H.
Other Authors: 57195622807
Format: Conference paper
Published: 2023
Subjects:
crossover factor
FPSGA
genetic algorithms
Genes
Genetic algorithms
Industrial electronics
Crossover factor
Global solutions
Variable range
Spheres
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id my.uniten.dspace-30429
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spelling my.uniten.dspace-304292023-12-29T15:47:44Z The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm Kamil K. Chong K.H. Tiong S.K. Yeap K.H. 57195622807 36994481200 15128307800 36024759100 crossover factor FPSGA genetic algorithms Genes Genetic algorithms Industrial electronics Crossover factor FPSGA Global solutions Variable range Spheres In this paper, a crossover factor, fTIG is introduced to the Finite Persisting Sphere Genetic Algorithm (FPSGA). The factor provides a variable range of the loop in the process of Finite Persisting Sphere. By the existing of the variable range, the risk to have too large number of loop or too small number of loop in the FPSGA can be reduced. Too large number of loop will risk of repeating using the same data and too small number of loop will cause the loss of good genes in the FPSGA. By the proposed approach, potential to achieve the global solution in a small number of population will be increased and at the same time less time required running the process in the loop. This paper show that FPSGA with fTIG has higher global solution compared to other method and this method has faster converges to the global solution. The experiment result revealed the superiority of fTIG in FPSGA. � 2011 IEEE. Final 2023-12-29T07:47:43Z 2023-12-29T07:47:43Z 2011 Conference paper 10.1109/ISIEA.2011.6108776 2-s2.0-84855645519 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855645519&doi=10.1109%2fISIEA.2011.6108776&partnerID=40&md5=6b5f281c8f4b75986fbb0a4065f31519 https://irepository.uniten.edu.my/handle/123456789/30429 6108776 565 569 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic crossover factor
FPSGA
genetic algorithms
Genes
Genetic algorithms
Industrial electronics
Crossover factor
FPSGA
Global solutions
Variable range
Spheres
spellingShingle crossover factor
FPSGA
genetic algorithms
Genes
Genetic algorithms
Industrial electronics
Crossover factor
FPSGA
Global solutions
Variable range
Spheres
Kamil K.
Chong K.H.
Tiong S.K.
Yeap K.H.
The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
description In this paper, a crossover factor, fTIG is introduced to the Finite Persisting Sphere Genetic Algorithm (FPSGA). The factor provides a variable range of the loop in the process of Finite Persisting Sphere. By the existing of the variable range, the risk to have too large number of loop or too small number of loop in the FPSGA can be reduced. Too large number of loop will risk of repeating using the same data and too small number of loop will cause the loss of good genes in the FPSGA. By the proposed approach, potential to achieve the global solution in a small number of population will be increased and at the same time less time required running the process in the loop. This paper show that FPSGA with fTIG has higher global solution compared to other method and this method has faster converges to the global solution. The experiment result revealed the superiority of fTIG in FPSGA. � 2011 IEEE.
author2 57195622807
author_facet 57195622807
Kamil K.
Chong K.H.
Tiong S.K.
Yeap K.H.
format Conference paper
author Kamil K.
Chong K.H.
Tiong S.K.
Yeap K.H.
author_sort Kamil K.
title The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
title_short The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
title_full The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
title_fullStr The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
title_full_unstemmed The implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithm
title_sort implementation of crossover factor, f tig in the finite persisting sphere genetic algorithm
publishDate 2023
_version_ 1806428381068132352
score 13.222552

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