Adams, David B.Watson, Layne T.Gürdal, ZaferAnderson-Cook, Christine M.2013-06-192013-06-192003http://hdl.handle.net/10919/20153Composite 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.application/postscriptenIn CopyrightParallel computationOptimization and Blending of Composite Laminates Using Guide based Genetic AlgorithmsTechnical reportTR-03-11http://eprints.cs.vt.edu/archive/00000657/01/gaAES02.ps