遺伝的アルゴリズムによる構造最適化の実用化手法に関する検討 : (ハイブリッドGAの提案とCRTバルブの板厚最適化問題への適用)

概要

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New hybrid and parallel genetic algorithms, GAs, are proposed in this paper in order to improve the convergence of structural optimization. A fully stressed design method, FSD, and a GA were incorporated in the hybrid GA. In the parallel GA, the 'island model' was applied to reduce computing time. Stress analyses were carried out with a commercial FEM code to obtain the optimum solution with high reliability even in a complex model. As a result of the axi-symmetric shell model, the optimum solution by using the proposed hybrid GA was 50% lighter than that by using the simple GA. Furthermore, the computing time using the parallel GA with 10 processors was reduced by up to 1/7 of that with one processor. These methods were used to optimize the thickness of the 3-dimensional shell model of a CRT. As a result, the weight of the optimum model was 25% lighter than that of the reference model.
社団法人日本機械学会の論文
2000-06-25