1214 距離制約を考慮した局所探索に基づく多目的最適化法 : 探索点の数の動的な調整法に関する検討(最適化手法・理論)

DOI Web Site

書誌事項

タイトル別名
  • 1214 Multiobjective optimization based on a local search technique considering distance constraints : adaptive adjustment of the number of points

抄録

Aggregative gradient-based multiobjective optimization (AGMO) is a methodology for obtaining Pareto optimal solutions based on local search techniques. AGMO typically uses the weighing-sum technique, with weighting coefficients adaptively given during the optimization process. An AGMO method can handle large-scale problems that include numerous constraints and design variables, which are problematic when using meta-heuristic techniques. This paper proposes techniques to enhance the diversity of search points during the optimization process in an AGMO method, by introducing distance constraints and adaptive adjustment of the number of search points, so that well-distributed Pareto solutions are obtained. The proposed method is applied to example problems to illustrate its effectiveness.

収録刊行物

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ