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《Journal of Mechanical Strength》 2004-06
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HYBRID GENETIC ALGORITHM FOR DISCRETE TOPOLOGY OPTIMIZATION OF TRUSSES

ZHU ChaoYan 1 LIU Bin 1 GUO PengFei 2 ZHANG YanNian 1 (1. School of Resource and Civil Engineering, Northeastern University, Shenyang 110004, China) (2. Department of Civil Engineering, Liaoning Institute of Technology, Jinzhou 121001,China)  
A hybrid genetic algorithm (HGA) for discrete topology optimization of trusses is proposed. It composed the standard genetic algorithm (SGA) and the imitative full-stress design method. In order to avoid the calculating trouble of additions and deletions of the unit and the node, on the based of analysis of truss structure, one kind of heuristic means for producing the topology-structure shape which meet the maneuverability demand quickly was proposed. Using hybrid genetic algorithm under the condition of topology-structure shape processed cross-section optimization. Imitative full-stress operator was inserted into genetic algorithm for improving local searching capability of genetic algorithm in this method. Moreover standard genetic algorithm was improved by employing the best individual reserved, the worst individual replaced and difference of individuals controlled, which effectively improved the efficiency and quality of genetic algorithm.The results by exemplification show that HGA was efficient optimal method for truss-structure topology optimization with discrete variables.
【Fund】: 国家自然科学基金资助项目 (40 0 72 0 0 6)。
【CateGory Index】: TU311
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