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离散变量桁架结构拓扑优化的遗传禁忌搜索算法
引用本文:罗海林,霍达.离散变量桁架结构拓扑优化的遗传禁忌搜索算法[J].河南科学,2005,23(6):909-911.
作者姓名:罗海林  霍达
作者单位:北京工业大学建筑工程学院,北京,100022
摘    要:采用遗传禁忌搜索算法求解多工况多约束的桁架结构拓扑优化问题.在遗传算法中采用直接比较-比例方法(DCPM)处理约束,避免了确定罚因子的选择问题.为了提高遗传算法的局部搜索能力,在每一代遗传操作之后选择一定比例的解进行禁忌搜索,形成遗传禁忌搜索算法,以提高算法的全局搜索能力和收敛速度.数值算例表明,该方法用于求解多工况多约束的离散变量桁架结构拓扑优化问题是方便、快速和有效的.

关 键 词:离散变量  遗传算法  禁忌搜索  拓扑优化  DCPM方法
文章编号:1004-3918(2005)06-0909-03
收稿时间:2005-08-11
修稿时间:2005年8月11日

A genetic-tabu algorithm for discrete topology optimization of truss structures
LUO Hai-lin,HUO Da.A genetic-tabu algorithm for discrete topology optimization of truss structures[J].Henan Science,2005,23(6):909-911.
Authors:LUO Hai-lin  HUO Da
Institution:College of Civil and Architecture Engineer, Beijing University of Technology, Beijing 100022, China
Abstract:A genetic-tabu algorithm(GATS) was given for topology optimization of truss structures subject to multiple loading cases and constrains.Direct comparisonproportional method(DCPM) was adopted to treat with constrains in the algorithm,avoiding selecting penalty parameters.In order to improve the local search ability of genetic algorithm,tabu search was executed to a certain proportional selected individuals in the population after genetic evolution of every generation,forming GATS so as to improve the global search ability and convergence performance of the algorithm.The exemplification results showed that the proposed method is convenient,fast and efficient to the topology optimization of truss structures subject to multiple loading cases and constrains.
Keywords:discrete variable  genetic algorithm  tabu search  topology optimization  DCPM method  
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