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Advanced Genetic Algrorithm Strategies in Optimal Design of Stiffened Composite Panels
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 Title & Authors
Advanced Genetic Algrorithm Strategies in Optimal Design of Stiffened Composite Panels
Lee, Jong-Su;
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The paper describes the use of genetic algorithms (GA's) to the minimum weight design of stiffened composite panels for buckling constraints. The proposed design problem is characterized by mixture of continuous and discrete design variables corresponding to panel elements and stacking sequence of laminates, respectively. Design space is multimodal and non-convex, thereby introducing the need for global search strategies. Advanced strategies in GA's such as directed crossover, multistage search and separated crossover are adopted to improve search ability and to save computational resource requirements. The paper explores the effectiveness of genetic algorithms and their advanced strategies in designing stiffened composite panels under various uniaxial compressive load conditions and the linrlit on stacking sequence of laminates
Genetic Algorithms, GAs;Directed Crossover;Multistage Search;Separated Crossover;Stiffened Composite Panel;Stacking Sequence;Buckling;
 Cited by
컴플라이언트 메커니즘을 이용한 스윙 암 액추에이터의 설계 - 강성 효과를 고려한 다중목적 최적화 설계 -,이충용;민승재;유정훈;

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