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《固体力学学报(英文版)》 1994-01
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AN EFFICIENT GENETIC ALGORITHM FOR LARGE SCALE BUILT-UP STRUCTURAL OPTIMIZATION

Wang Shigang Yao Jianchu Huang Yuying Zhong Weifang Lin Jinming(Huazhong University of Science and Technology Wuhan,Hubei,430074 P.R.China)  
In this paper,a new zigzag method for plate structures and a genetic algorithm (GA) of dynamic source seed spaces are developed and a combination of them is used to deal with large scale built-up structural optimization.The new GA combined with the zigzag method can work efficiently when coping with large scale structural optimization included displacement and stress constraints.Examples show that this GA is robust and can be used for many complex structural optimization problems.
【Fund】: National Natural Science Foundation of China
【CateGory Index】: TH113
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