Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity

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dc.contributor.author Sindhya, Karthik
dc.date.accessioned 2011-09-12T09:38:10Z
dc.date.available 2011-09-12T09:38:10Z
dc.date.issued 2011
dc.identifier.isbn 978-951-39-4414-8
dc.identifier.uri http://hdl.handle.net/123456789/36669
dc.identifier.uri http://urn.fi/URN:ISBN:978-951-39-4414-8 en
dc.format.extent 64 s.
dc.language.iso eng
dc.publisher University of Jyväskylä
dc.relation.ispartofseries Jyväskylä studies in computing;1456-5390 ;131.
dc.relation.isversionof ISBN 978-951-39-4372-1
dc.subject.other hybridialgoritmit
dc.subject.other evoluutioalgoritmit
dc.subject.other PIE
dc.subject.other monitavoiteoptimointi
dc.subject.other hybrid framework
dc.subject.other multiple criteria decision making
dc.subject.other interactive evolutionary multi-objective optimization
dc.subject.other mutation
dc.subject.other NSGA-II
dc.subject.other differential evolution
dc.subject.other achievement scalarizing function
dc.subject.other NAUTILUS method
dc.title Hybrid evolutionary multi-objective optimization with enhanced convergence and diversity
dc.type Diss. fi
dc.identifier.urn URN:ISBN:978-951-39-4414-8
dc.subject.ysa muuttujat
dc.subject.ysa Pareto-optimit
dc.subject.ysa EMO-algoritmit
dc.subject.kota 113
dc.type.dcmitype Text en
dc.type.ontasot Väitöskirja fi
dc.type.ontasot Doctoral dissertation en
dc.contributor.tiedekunta Informaatioteknologian tiedekunta fi
dc.contributor.tiedekunta Faculty of Information Technology en
dc.contributor.yliopisto University of Jyväskylä en
dc.contributor.yliopisto Jyväskylän yliopisto fi

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