Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/94485
Full metadata record
DC FieldValueLanguage
dc.creatorCarlos Alberto Conceição António
dc.date.accessioned2019-02-03T14:00:00Z-
dc.date.available2019-02-03T14:00:00Z-
dc.date.issued2008
dc.identifier.othersigarra:57965
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/94485-
dc.description.abstractIt is recognized that Genetic Algorithms efficiency improves clearly if some adaptive rules are included. In the present work,adaptive properties in Genetic Algorithms applied to structural optimization are studied. Here, adaptive rules perform usingadditional information related with the behavior of state and design variables of the structural problem. At each generation the selfadaptationof genetic parameters to evolutionary conditions aims to improve the efficiency of genetic search. The introduction ofadaptive rules occurs at three levels: (i) when defining the search domain at each generation; (ii) considering a crossover operatorbased on commonality and local improvements; and (iii) by controlling mutation including behavioral data.Self-adaptation has proved to be highly beneficial in automatically and dynamically adjusting evolutionary parameters. Numericalexamples showing these benefits are presented.
dc.language.isoeng
dc.relation.ispartofEngOpt 2008 - International Conference on Engineering Optimization
dc.rightsrestrictedAccess
dc.subjectEngenharia
dc.subjectEngineering
dc.titleSelf-adaptation in genetic algorithms applied to structural optimization
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
57965.pdf
  Restricted Access
Self-adaptation in genetic algorithms applied to structural optimization, artigo em CD311.72 kBAdobe PDF    Request a copy from the Author(s)


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.