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dc.contributor.authorTasgetiren, M.F.
dc.contributor.authorSuganthan, P.N.
dc.contributor.authorPan, Q.K.
dc.contributor.authorMallipeddi, R.
dc.contributor.authorSarman, S.
dc.date.accessioned2021-01-25T20:51:32Z
dc.date.available2021-01-25T20:51:32Z
dc.date.issued2010
dc.identifier10.1109/CEC.2010.5586396
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79959404599&doi=10.1109%2fCEC.2010.5586396&partnerID=40&md5=27561efe06d0dafd9033e2749ff756b5
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10661
dc.description.abstractThis paper presents an ensemble of differential evolution algorithms employing the variable parameter search and two distinct mutation strategies in the ensemble to solve real-parameter constrained optimization problems. It is well known that the performa
dc.language.isoEnglish
dc.publisher2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010
dc.titleAn ensemble of differential evolution algorithms for constrained function optimization
dc.typeConference Paper
dc.description.affiliationsDepartment of Industrial Engineering, Yasar University, Izmir, Turkey; School of Electrical and Electronics Engineering, Nanyang Technological University, 639798, Singapore, Singapore; School of Computer Science, Liaocheng University, China


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