Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/5802
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dc.contributor.authorHen, C.K.en_US
dc.contributor.authorPaw, J.K.S.en_US
dc.contributor.authorAnn, Y.S.en_US
dc.contributor.authorYan, K.W.en_US
dc.date.accessioned2017-12-08T07:26:19Z-
dc.date.available2017-12-08T07:26:19Z-
dc.date.issued2012-
dc.description.abstractIn this paper, the Improved Hierarchical Structure Poly-particle Swarm Optimization (IHSPPSO) algorithm is proposed based on the Hierarchical Structure Poly-particle Swarm Optimization (HSPPSO) algorithm with the addition of three new operators, namely the Particle Repair Operator, Dynamic Acceleration Control Operator and Cauchy mutation operator to achieve better performance in terms of accuracy and rate of convergence. The performance of the IHSPPSO algorithm was tested and evaluated using four benchmark test functions. The test results of the IHSPPSO algorithm were compared with the ones of HSPPSO and significant improvements were shown. The addition of three new operators has significantly improved the performance of the IHSPPSO algorithm. © 2012 IEEE.en_US
dc.language.isoen_USen_US
dc.relation.ispartof2012 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology, STUDENT 2012 - Conference Booklet 2012, Article number 6408404, Pages 203-206en_US
dc.titleImproved Hierarchical Structure Poly-particle particle Swarm Optimizationen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/STUDENT.2012.6408404-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeConference Paper-
Appears in Collections:COE Scholarly Publication
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