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

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dc.citedby0
dc.contributor.authorFam D.F.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorid43361142100en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid36994481200en_US
dc.date.accessioned2023-12-29T07:47:33Z
dc.date.available2023-12-29T07:47:33Z
dc.date.issued2012
dc.description.abstractGenetic 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.4028/www.scientific.net/AMR.341-342.456
dc.identifier.epage461
dc.identifier.scopus2-s2.0-80053976632
dc.identifier.spage456
dc.identifier.urihttps://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
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30411
dc.identifier.volume341-342
dc.pagecount5
dc.sourceScopus
dc.sourcetitleAdvanced Materials Research
dc.subjectGenetic Algorithm
dc.subjectSelective clonal mutation
dc.subjectSolar tracking
dc.subjectManufacture
dc.subjectMathematical operators
dc.subjectBit-strings
dc.subjectComparative analysis
dc.subjectComplicated structures
dc.subjectFaster convergence
dc.subjectFitness values
dc.subjectGA operators
dc.subjectOptimum voltages
dc.subjectSelective clonal mutation
dc.subjectSolar tracking
dc.subjectStochastic optimization algorithm
dc.subjectGenetic algorithms
dc.titleComparative analysis of Selective Clonal Mutation with conventional GA operators in solar tracking environmenten_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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