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Parallel Processing Based Decompositon Technique for Efficient Collaborative Optimization
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 Title & Authors
Parallel Processing Based Decompositon Technique for Efficient Collaborative Optimization
Park, Hyeong-Uk; Kim, Seong-Chan; Kim, Min-Su; Choe, Dong-Hun;
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In practical design studies, most of designers solve multidisciplinary problems with large size and complex design system. These multidisciplinary problems have hundreds of analysis and thousands of variables. The sequence of process to solve these problems affects the speed of total design cycle. Thus it is very important for designer to reorder the original design processes to minimize total computational cost. This is accomplished by decomposing large multidisciplinary problem into several multidisciplinary analysis subsystem (MDASS) and processing it in parallel. This paper proposes new strategy for parallel decomposition of multidisciplinary problem to raise design efficiency by using genetic algorithm and shows the relationship between decomposition and multidisciplinary design optimization (MDO) methodology.
Multidisciplinary Design Optimization;Parallel Decomposition;All at once method;Sequential Decomposition;MDASS;Design Structure Matrix;Collaborative Optimization;
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다분야통합최적설계 방법론의 병렬처리 성능 분석,안문열;이세정;

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