Staff View: Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment

Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment

Genetic Algorithm (GA) belongs to elementary stochastic optimization algorithms inspired by evolution.It points out the ability of simple representations using bit strings to encode complicated structures and the power of simple transformations to reach the desired solution. Research shows that a ne...

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Main Authors:	Fam D.F., Koh S.P., Tiong S.K., Chong K.H.
Other Authors:	43361142100
Format:	Conference Paper
Published:	2023
Subjects:	Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Stochastic optimization algorithm Genetic algorithms
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id	my.uniten.dspace-30411
record_format	dspace
spelling	my.uniten.dspace-304112024-04-18T10:55:32Z Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment Fam D.F. Koh S.P. Tiong S.K. Chong K.H. 43361142100 22951210700 15128307800 36994481200 Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms Genetic Algorithm (GA) belongs to elementary stochastic optimization algorithms inspired by evolution.It points out the ability of simple representations using bit strings to encode complicated structures and the power of simple transformations to reach the desired solution. Research shows that a new operator namely Selective Clonal Mutation (SCM) for better genetic solutions has been successfully developed so that faster convergence to the best desired solution could be obtained. This operator has produced the best fitness value as compared to the conventional genetic algorithm result within 50 generation, Selective Clonal Mutation (SCM) is able to produce the best fitness value at 0.01731 with optimum voltage 10.05V in solar tracking environment. � (2012) Trans Tech Publications, Switzerland. Final 2023-12-29T07:47:33Z 2023-12-29T07:47:33Z 2012 Conference Paper 10.4028/www.scientific.net/AMR.341-342.456 2-s2.0-80053976632 https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053976632&doi=10.4028%2fwww.scientific.net%2fAMR.341-342.456&partnerID=40&md5=8ae315dcbb5b194e9ec74c646ead2874 https://irepository.uniten.edu.my/handle/123456789/30411 341-342 456 461 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	Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms
spellingShingle	Genetic Algorithm Selective clonal mutation Solar tracking Manufacture Mathematical operators Bit-strings Comparative analysis Complicated structures Faster convergence Fitness values GA operators Optimum voltages Selective clonal mutation Solar tracking Stochastic optimization algorithm Genetic algorithms Fam D.F. Koh S.P. Tiong S.K. Chong K.H. Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
description	Genetic Algorithm (GA) belongs to elementary stochastic optimization algorithms inspired by evolution.It points out the ability of simple representations using bit strings to encode complicated structures and the power of simple transformations to reach the desired solution. Research shows that a new operator namely Selective Clonal Mutation (SCM) for better genetic solutions has been successfully developed so that faster convergence to the best desired solution could be obtained. This operator has produced the best fitness value as compared to the conventional genetic algorithm result within 50 generation, Selective Clonal Mutation (SCM) is able to produce the best fitness value at 0.01731 with optimum voltage 10.05V in solar tracking environment. � (2012) Trans Tech Publications, Switzerland.
author2	43361142100
author_facet	43361142100 Fam D.F. Koh S.P. Tiong S.K. Chong K.H.
format	Conference Paper
author	Fam D.F. Koh S.P. Tiong S.K. Chong K.H.
author_sort	Fam D.F.
title	Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
title_short	Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
title_full	Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
title_fullStr	Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
title_full_unstemmed	Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment
title_sort	comparative analysis of selective clonal mutation with conventional ga operators in solar tracking environment
publishDate	2023
_version_	1806427472268361728
score	13.222552

Comparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environment

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