An interactive fuzzy satisficing approach using genetic algorithm for multi-objective problems

Takanori Kiyota, Yasutaka Tsuji, Eiji Kondo

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

5 被引用数 (Scopus)

抄録

This paper describes a fuzzy satisficing method for multi-objective optimization problems using Genetic Algorithm (GA). A multi-objective design problem with constraints is expressed as a satisficing problem of constraints by introducing an aspiration level for each objective. Here, in order to handle fuzziness involved in aspiration levels and constraints, the unsatisfying function is introduced, and the problem is formulated as a multi-objective minimization problem of unsatisfaction ratings. As the optimization method, GA is employed. He/She can seek a satisficing solution by modifying parameters interactively according to his/her preferences.

本文言語英語
ホスト出版物のタイトルAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS
編集者M.H. Smith, W.A. Gruver, L.O. Hall
ページ757-762
ページ数6
2
出版ステータス出版済み - 2001
イベントJoint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, カナダ
継続期間: 7月 25 20017月 28 2001

その他

その他Joint 9th IFSA World Congress and 20th NAFIPS International Conference
国/地域カナダ
CityVancouver, BC
Period7/25/017/28/01

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(全般)
  • メディア記述

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