Optimization and Blending of Composite Laminates Using Genetic Algorithms with Migration

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dc.contributor.authorAdams, David B.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorGürdal, Zaferen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:43Zen
dc.date.available2013-06-19T14:36:43Zen
dc.date.issued2002en
dc.description.abstractOptimization of aircraft stiffened composite panel structures often results in manufacturing incompatibilities between adjacent panels. Using genetic algorithms to optimize local panel stacking sequences allows panel populations of stacking sequences to evolve in parallel and send migrants to adjacent panels, so as to blend the local panel designs globally. The blending process is accomplished using the edit distance between individuals of a population and the set of migrants from adjacent panels. The objective function evaluating the fitness of designs is modified according to the severity of mismatches detected between neighboring populations. This lays the ground work for natural evolution to a blended global solution without leaving the paradigm of genetic algorithms.en
dc.format.mimetypeapplication/postscripten
dc.identifierhttp://eprints.cs.vt.edu/archive/00000553/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000553/01/gaMCMS01.psen
dc.identifier.trnumberTR-02-04en
dc.identifier.urihttp://hdl.handle.net/10919/20037en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAlgorithmsen
dc.subjectData structuresen
dc.titleOptimization and Blending of Composite Laminates Using Genetic Algorithms with Migrationen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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