一般化包絡分析法を用いた多目的PSO法

書誌事項

タイトル別名
  • Multi-Objective Particle Swarm Optimization using Generalized Data Envelopment Analysis
  • イッパンカ ホウラクブンセキホウ オ モチイタ タモクテキ PSOホウ

この論文をさがす

抄録

Several meta-heuristic methods such as genetic algorithms and particle swarm optimization (PSO) have been applied for solving multi-objective optimization problems, and have been observed to be useful for generating the whole Pareto optimal solutions. In this research, we propose a new method of multi-objective particle swarm optimization by using generalized data envelopment analysis (GDEA) in order to improve the convergence and the diversity when searching for the solutions as well as to decide easily parameters in PSO. In addition, we investigate the effectiveness of the proposed PSO method using GDEA through some numerical examples. <br>

収録刊行物

被引用文献 (1)*注記

もっと見る

参考文献 (25)*注記

もっと見る

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ