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Conference Paper: Real-coded chemical reaction optimization with different perturbation functions

TitleReal-coded chemical reaction optimization with different perturbation functions
Authors
KeywordsChemical reaction optimization
Gaussian distribution
Cauchy distribution
Exponential distribution
Rayleigh distribution
Evolutionary algorithm
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284
Citation
The 2012 IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, 10-15 June 2012. In IEEE CEC Proceedings. 2012, p. 1-8 How to Cite?
Abstract
Chemical Reaction Optimization (CRO) is a powerful metaheuristic which mimics the interactions of molecules in chemical reactions to search for the global optimum. The perturbation function greatly influences the performance of CRO on solving different continuous problems. In this paper, we study four different probability distributions, namely, the Gaussian distribution, the Cauchy distribution, the exponential distribution, and a modified Rayleigh distribution, for the perturbation function of CRO. Different distributions have different impacts on the solutions. The distributions are tested by a set of wellknown benchmark functions and simulation results show that problems with different characteristics have different preference on the distribution function. Our study gives guidelines to design CRO for different types of optimization problems. © 2012 IEEE.
DescriptionIEEE World Congress on Computational Intelligence (WCCI 2012), Brisbane, Australia, 10-15 June 2012 hosted three conferences: the 2012 International Joint Conference on Neural Networks (IJCNN 2012), the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), and the 2012 IEEE Congress on Evolutionary Computation (IEEE CEC 2012)
Persistent Identifierhttp://hdl.handle.net/10722/165305
ISBN

 

DC FieldValueLanguage
dc.contributor.authorYu, JJQen_US
dc.contributor.authorLam, AYSen_US
dc.contributor.authorLi, VOKen_US
dc.date.accessioned2012-09-20T08:16:51Z-
dc.date.available2012-09-20T08:16:51Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, 10-15 June 2012. In IEEE CEC Proceedings. 2012, p. 1-8en_US
dc.identifier.isbn978-1-4673-1509-8-
dc.identifier.urihttp://hdl.handle.net/10722/165305-
dc.descriptionIEEE World Congress on Computational Intelligence (WCCI 2012), Brisbane, Australia, 10-15 June 2012 hosted three conferences: the 2012 International Joint Conference on Neural Networks (IJCNN 2012), the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), and the 2012 IEEE Congress on Evolutionary Computation (IEEE CEC 2012)-
dc.description.abstractChemical Reaction Optimization (CRO) is a powerful metaheuristic which mimics the interactions of molecules in chemical reactions to search for the global optimum. The perturbation function greatly influences the performance of CRO on solving different continuous problems. In this paper, we study four different probability distributions, namely, the Gaussian distribution, the Cauchy distribution, the exponential distribution, and a modified Rayleigh distribution, for the perturbation function of CRO. Different distributions have different impacts on the solutions. The distributions are tested by a set of wellknown benchmark functions and simulation results show that problems with different characteristics have different preference on the distribution function. Our study gives guidelines to design CRO for different types of optimization problems. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284-
dc.relation.ispartofCongress on Evolutionary Computation Proceedingsen_US
dc.rightsCongress on Evolutionary Computation Proceedings. Copyright © IEEE.-
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectChemical reaction optimization-
dc.subjectGaussian distribution-
dc.subjectCauchy distribution-
dc.subjectExponential distribution-
dc.subjectRayleigh distribution-
dc.subjectEvolutionary algorithm-
dc.titleReal-coded chemical reaction optimization with different perturbation functionsen_US
dc.typeConference_Paperen_US
dc.identifier.emailYu, JJQ: jqyu@eee.hku.hken_US
dc.identifier.emailLam, AYS: albertlam@ieee.org-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturepublished_or_final_version-
dc.identifier.scopuseid_2-s2.0-84866875012-
dc.identifier.hkuros210466en_US
dc.identifier.spage1-
dc.identifier.epage8-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130508-

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