Simultaneous optimization of the topology and geometry of a two-dimensional framed structure using an SA/GA hybrid optimization method

Yuichiro Sakamoto, Yasuhiro Bonkobara, Takahiro Kondou

研究成果: Contribution to journalArticle査読

抄録

A hybrid optimization method using simulated annealing (SA) and a genetic algorithm (GA) developed in a previous study is improved in order to achieve high computational performance. The previous method, in which the genetic operations for generating initial search solutions of the next generation are introduced into the computation process of multi-point SA, can efficiently and globally compute Pareto-optimal solutions, as compared to SA using a re-annealing method. However, a large number of Pareto-optimal solutions exceeding the acceptable amount of computer memory may be obtained. In the proposed method, in order to effectively store Pareto-optimal solutions in computer memory, all obtained solutions are classified according to topology type, and those that should be stored are selected from each topology group. In addition, selection methods based on four criteria are newly proposed in order to improve the convergence of solutions and to maintain their diversity. The proposed SA/GA hybrid algorithm for simultaneous optimization of the topology and geometry of a two-dimensional framed structure is applied to a two-objective optimization problem of minimizing the total weight and maximizing the first natural frequency under displacement and stress constraints. The validity of the proposed methods is confirmed through performance evaluation based on the Wilcoxon rank-sum test.

本文言語英語
ページ(範囲)3454-3468
ページ数15
ジャーナルNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
77
781
DOI
出版ステータス出版済み - 2011

All Science Journal Classification (ASJC) codes

  • 材料力学
  • 機械工学
  • 産業および生産工学

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