GA利用による多数の部材からなるトラスの寸法最適化の一試行

概要

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This paper presents a method for size optimization problems of trusses by coding the increase and decrease parameters of the cross-sectional areas of the members as chromosomes in applying genetic algorithm. A simple method to apply genetic algorithm, which allots a binary substring to a member, requires a long length of strings in the chromosomes to represent the trusses composed of a large number of members, and does not necessarily certify a stable convergence. For the shape and topology optimization problems in two-dimensional finite element models, the authors have devised a method, in which removal and addition parameters of finite element are adopted as chromosomes, and which leads to an efficient and stable optimization process. The method is modified so that it can be applied to the weight minimum problem of trusses. The efficiency and reliability of the method is demonstrated with various experiments.
日本シミュレーション学会の論文
1997-12-15