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遗传算法在桁架优化设计中的应用
引用本文:沈成武,唐小兵. 遗传算法在桁架优化设计中的应用[J]. 贵州工业大学学报(自然科学版), 1997, 0(Z1)
作者姓名:沈成武  唐小兵
作者单位:武汉交通科技大学土木建筑工程系
摘    要:用遗传算法处理设计变量为杆件中离散型材截面的桁架最轻重量优化问题。将离散的截面参数用二进制的遗传因子表示,利用染色体的遗传繁殖和自然淘汰等特点,可以在较广的参数域内对优化解进行搜索。并将满强度设计与遗传算法相结合,加速了收敛速度。算例表明,在不大的计算量下可获得相当良好的全局性优化解。

关 键 词:遗传算法;桁架;离散变量;优化

THE APPLICATION OF GENETIC ALGORITHM TO TRUSS OPTIMIZATION DESIGN
Shen Chengwu Tang Xiaobing. THE APPLICATION OF GENETIC ALGORITHM TO TRUSS OPTIMIZATION DESIGN[J]. Journal of Guizhou University of Technology(Natural Science Edition), 1997, 0(Z1)
Authors:Shen Chengwu Tang Xiaobing
Affiliation:Wuhan Transportation University Wuhan 430063
Abstract:his paper attempts to design optimization of a space truss by using the genetic algorithm.The design variables are the separate sectional area of a bar and the optimizing objective is the least weight.Separate parameters are replaced by the genetic codings of binary numbers.Characters of the genetic reproduction and natural selection are used to search for the optimal solution in a wider design parameter region.The convergence is accelerated by combining the genetic algorithm with full strength design.The computational example indicates that this method can obtain a better solution at a less cost.
Keywords:enetic algorithm  space truss  separate parameter  optimization  
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