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基于遗传算法的网格结构优化方法 被引量:18

STUDY ON OPTIMIZATION OF RETICULATED STRUCTURES BASED ON GENETIC ALGORITHMS
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摘要 为了加快遗传算法的进化过程,提出了基于遗传算法和满应力准则进行网格结构优化的杂交算法.杂交算法能大幅度地减少单纯采用遗传算法进行网格结构优化的解空间,其结果表明杂交算法能明显地加快遗传算法的收敛进程. Genetic Algorithm is a recently developed search strategy based on the rules of genetic evolution.It has been used in the optimization design of reticulated structures,but its defects make the evolution progress too long and too slowly.In order to quicken the evolution progress,a hybrid algorithm is presented for the optimization design of reticulated structures based on Genetic Algorithms and Full Stress Criteria in this paper.The solution space of reticulated structures can be reduced much more quickly by using the hybrid algorithm than using the Genetic Algorithms alone,and results indicate the hybrid algorithm can quicken the convergent course of Genetic Algorithms greatly.
出处 《天津大学学报(自然科学与工程技术版)》 EI CAS CSCD 2000年第1期93-96,共4页 Journal of Tianjin University:Science and Technology
关键词 遗传算法 网格结构 拓扑优化 满应力准则法 genetic algorithms (GA) reticulated structures topology optimization full stress criteria
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参考文献3

  • 1许素强,夏人伟.桁架结构拓扑优化与遗传算法[J].计算结构力学及其应用,1994,11(4):436-446. 被引量:34
  • 2Wu Shyue-Tian,Chow Pei-Tse. Steady-state Genetic. Algorithms for discrete optimization of trusses[J]. Computers and Structures,l995,57(2):219~225.
  • 3Holland J H. Adaptation in natural and artificial systems [M]. The University of Michigan (1975) and MIT Press,Cambridge,MA (1989).

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