免疫アルゴリズムによる構造システムの最適化と解の多様性

概要

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There exists the immune algorithm as a computational method in solving optimization problems. This algorithm imitating the immune mechanism in the mammal has a notable characteristic that is able to search a solution set with diversity in optimization problems. However, application of the immune algorithm to structural optimization problems is a few in the present stage. In this paper we would like to improve the conventional immune algorithm with the gene of binary number type to immune algorithm with the gene of a binary-coded type and a real-coded type in applying to structural optimization. The applicability and effectiveness of our immune algorithm is shown through numerical models on the minimum weight design and the topology specification of elastic truss structure. The obtained numerical results are compared with the results by the standard genetic algorithms and the real-coded genetic algorithms. Moreover, in our immune algorithms an efficient procedure on selection of four computation thresholds in order to generate a solution set with diversity is also proposed.
社団法人日本建築学会の論文
2005-02-28