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dc.contributor.authorAffenzeller, Michael
dc.contributor.authorWinkler, Stephan
dc.contributor.authorWagner, Stefan
dc.contributor.authorBeham, Andreas
dc.date.accessioned2023-11-28T10:42:57Z
dc.date.available2023-11-28T10:42:57Z
dc.date.issued2009
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/85641
dc.description.abstractGenetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for alen_US
dc.languageEnglishen_US
dc.subject.othercurve;formula;parent;population;roc;selection;series;size;test;trainingen_US
dc.titleGenetic Algorithms and Genetic Programmingen_US
dc.title.alternativeModern Concepts and Practical Applicationsen_US
dc.typebook
oapen.identifier.doi10.1201/9781420011326en_US
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bben_US
oapen.relation.isbn9780429141973en_US
oapen.relation.isbn9781584886297en_US
oapen.relation.isbn9781138114272en_US
oapen.imprintChapman & Hall/CRCen_US
oapen.pages394en_US
peerreview.anonymitySingle-anonymised
peerreview.idbc80075c-96cc-4740-a9f3-a234bc2598f1
peerreview.open.reviewNo
peerreview.publish.responsibilityPublisher
peerreview.review.stagePre-publication
peerreview.review.typeProposal
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleProposal review


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