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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/12958

タイトル: Failure of Pareto-Based MOEAS: Does Non-Dominated Really Mean Near to Optimal?
著者: Ikeda, Kokolo
Kita, Hajime
Kobayashi, Shigenobu
キーワード: Evolutionary algorithm
Multi-objective optimization
Pareto-based MOEAs
Dominance resistant solutions
alpha-domination
発行日: 2001
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: Proceedings of the 2001 Congress on Evolutionary Computation
巻: 2
開始ページ: 957
終了ページ: 962
DOI: 10.1109/CEC.2001.934293
抄録: Many multi-objective evolutionary algorithms (MOEAs) have been proposed over the years. Main part of the most successful algorithms such as PESA, or NSGA-II, are the Pareto based selection strategy that decide survivors using dominance among individuals. However, does the Pareto based selection strategy always succeed in finding the Pareto optimal solutions? This paper shows a very simple example that can cause serious trouble on the Pareto based MOEAs. In such an instance, various solutions, which are apart from the true Pareto-optimums, are left as hardly-dominated solutions. We define such solutions as dominance resistant solutions (DRSs), and show a class of problems which produces DRSs easily. To cope with this difficulty we propose α-domination strategy that relaxes the domination introducing weak trade-off among objectives. With α-domination strategy, The DRSs are effectively purged from the population.
Rights: This is the author's version of the work. Copyright (C) 2001 IEEE. Proceedings of the 2001 Congress on Evolutionary Computation, 2, 2001, 957-962. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/12958
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)

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