Optimization and Blending of Composite Laminates Using Guide based Genetic Algorithms

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dc.contributor.authorAdams, David B.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorGürdal, Zaferen
dc.contributor.authorAnderson-Cook, Christine M.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:16Zen
dc.date.available2013-06-19T14:36:16Zen
dc.date.issued2003en
dc.description.abstractComposite panel structure optimization is commonly decomposed into panel optimization subproblems, with specified local loads, resulting in manufacturing incompatibilities between adjacent panel designs. A new method proposed here for constructing globally blended panel designs uses a parallel decomposition antithetical to that of earlier work. Rather than performing concurrent panel genetic optimizations, a single genetic optimization is conducted for the entire structure with the parallelism solely within the fitness evaluations. A guide based genetic algorithm approach is introduced to exclusively generate and evaluate valid globally blended designs, utilizing a simple master-slave parallel implementation, implicitly reducing the size of the problem design space and increasing the quality of discovered local optima.en
dc.format.mimetypeapplication/postscripten
dc.identifierhttp://eprints.cs.vt.edu/archive/00000657/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000657/01/gaAES02.psen
dc.identifier.trnumberTR-03-11en
dc.identifier.urihttp://hdl.handle.net/10919/20153en
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.subjectParallel computationen
dc.titleOptimization and Blending of Composite Laminates Using Guide based Genetic Algorithmsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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