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

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dc.citedby0
dc.contributor.authorKamil K.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorYeap K.H.en_US
dc.contributor.authorid57195622807en_US
dc.contributor.authorid36994481200en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid36024759100en_US
dc.date.accessioned2023-12-29T07:47:43Z
dc.date.available2023-12-29T07:47:43Z
dc.date.issued2011
dc.description.abstractIn 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo6108776
dc.identifier.doi10.1109/ISIEA.2011.6108776
dc.identifier.epage569
dc.identifier.scopus2-s2.0-84855645519
dc.identifier.spage565
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84855645519&doi=10.1109%2fISIEA.2011.6108776&partnerID=40&md5=6b5f281c8f4b75986fbb0a4065f31519
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30429
dc.pagecount4
dc.sourceScopus
dc.sourcetitle2011 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2011
dc.subjectcrossover factor
dc.subjectFPSGA
dc.subjectgenetic algorithms
dc.subjectGenes
dc.subjectGenetic algorithms
dc.subjectIndustrial electronics
dc.subjectCrossover factor
dc.subjectFPSGA
dc.subjectGlobal solutions
dc.subjectVariable range
dc.subjectSpheres
dc.titleThe implementation of crossover factor, f TIG in the finite persisting sphere genetic algorithmen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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