領域適応型Particle Swarm Optimizationによる複数の最適解の探索(機械力学,計測,自動制御)

DOI DOI 機関リポジトリ Web Site Web Site 参考文献24件

書誌事項

タイトル別名
  • Adaptive Range Particle Swarm Optimization to Find Multiple Optima(Mechanical Systems)
  • 領域適応型Particle Swarm Optimizationによる複数の最適解の探索
  • リョウイキ テキオウガタ Particle Swarm Optimization ニ ヨル フクスウ ノ サイテキ カイ ノ タンサク

この論文をさがす

抄録

The main objective called as the population-based optimization techniques is to find a global minimum. However, it is sometimes preferable to find multiple optima in the engineering design. The Adaptive Range Particle Swarm Optimization (ARPSO) to find multiple optima is proposed in this paper. The active search domain range of the ARPSO is only one, however, many active search domain ranges to find multiple optima are generated in the proposed appoach. At first, the many active search domain ranges are generated by the paired particles, and the procedure of the ARPSO is applied. Then, the paired particles find local or global minimum separetely. Many active search domain ranges are sometimes integrated through the search process. The detail procedure to integrate the active search domain ranges is also explained in this paper. It is possible to find multiple optima with high accuracy by the proposed approach. The validity of proposed method is examined through numerical examples.

収録刊行物

参考文献 (24)*注記

もっと見る

関連プロジェクト

もっと見る

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