GAとBEMによる連続体位相形状最適化

概要

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In the previous study, the authors presented shape optimization scheme of continuum structures by genetic algorithm (GA) and then, discussed several schemes in order to improve the computational efficiency. In this paper, the previous study is extended to the topology optimization problem of the continuum structures. Boundary profile of the object under consideration is expressed by the spline function. The chromosome for the profile is defined by a gene for the number of the hole and genes related to the control points of the spline function. The population is constructed by individuals which have such chromosome. The population is improved by the genetic operations in order to determine the profile satisfying the design objects. By the way, in the case of the object with many holes, the crossing of the boundaries often makes the computational cost expensive. In this paper, we discuss the scheme to improve the computational efficiency. Finally, the present scheme is applied to the topology optimization of the simple numerical example in order to confirm the validity.
日本シミュレーション学会の論文
1997-09-15