書誌事項
- タイトル別名
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- 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
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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
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- システム制御情報学会論文誌
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システム制御情報学会論文誌 23 (9), 215-222, 2010
一般社団法人 システム制御情報学会
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詳細情報 詳細情報について
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- CRID
- 1390282680141476992
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- NII論文ID
- 10027615330
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- NII書誌ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL書誌ID
- 10817601
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可