‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Jelovica, Jasmin
dc.contributor.author Klanac, Alan
dc.date.accessioned 2015-07-28T09:02:55Z
dc.date.available 2015-07-28T09:02:55Z
dc.date.issued 2009
dc.identifier.citation Jelovica, Jasmin & Klanac, Alan. 2009. ‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm. Proceedings of the 10th Finnish Mechanics Days (Suomen mekaniikan päivät 2009). en
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/17290
dc.description.abstract This paper presents two techniques, the ‘healing’ and ‘repairing’ that can reduce optimization time when using genetic algorithm for structural optimization. The techniques can be applied to: (a) quickly find feasible designs from completely infeasible set of alternatives, and (b) to make the best infeasible designs feasible. These procedures are implemented into a genetic algorithm ‘VOP’. The performance of the original and the modified version of the algorithm are compared with the widespread genetic algorithm ‘NSGA-II’ for the weight optimization of a 40 000 DWT chemical tanker midship section. The results show that these procedures can decrease the optimization time by approximately half. en
dc.format.extent 12 fi
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Jyväskylän yliopisto fi
dc.publisher University of Jyväskylä en
dc.relation.ispartof Proceedings of the 10th Finnish Mechanics Days (Suomen mekaniikan päivät 2009) en
dc.subject.other Civil engineering en
dc.subject.other Computer science en
dc.subject.other Marine engineering en
dc.subject.other Mathematics en
dc.title ‘Healing’ and ‘repairing’ techniques for faster optimization with genetic algorithm en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.rights.holder 10th Finnish mechanics days 2009 en
dc.rights.holder X Suomen mekaniikkapäivät 2009 fi
dc.contributor.school Insinööritieteiden korkeakoulu fi
dc.contributor.school School of Engineering en
dc.contributor.department Sovelletun mekaniikan laitos fi
dc.contributor.department Department of Applied Mechanics en
dc.subject.keyword optimization en
dc.subject.keyword genetic algorithm en
dc.subject.keyword heuristics fi
dc.subject.keyword structures fi
dc.identifier.urn URN:NBN:fi:aalto-201507283918
dc.type.dcmitype text en
dc.contributor.lab Marine Technology en
dc.type.version post print en

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