カワベ タカシ   KAWABE Takashi
  川邉 孝
   所属   東京電機大学  システムデザイン工学部 人間科学系列(システムデザイン工学部)
   東京電機大学  情報環境学部 ※2017年度学生募集停止 情報環境学科 ※2017年度学生募集停止
   職種   教授
言語種別 英語
発行・発表の年月 2015/11
形態種別 学術研究論文
査読 査読有り
標題 "A Refined Case Based Genetic Algorithm for Intelligent Route Optimization"
執筆形態 共著
掲載誌名 Proc. of the Eleventh International Conference on Signal-Image Technology and Internet-Based Systems
掲載区分国外
出版社・発行元 SITIS
巻・号・頁 pp.698-704
概要 This paper introduces a refined knowledge based approach to make Genetic Algorithms (GA) more effective. A concept called Case Based Reasoning (CBR) is combined with GA. This technology uses former solutions to the problem for
deriving new solutions. The contribution of this CBR combination is a Case Base Maintenance technology that cares for both diversity and fitness in population. Former solutions namely, former problem's GA's solutions whose human/culture
related problems are modified by human (expert) support, is maintained, selected, and used as GA's initial population for new but usually more than 80% similar problems. This technology weakens the factor "accidence" in favor of fitness and diversity balanced search especially towards human/culture related
optimality. Instead of hoping for "accidentally good solutions" such technologies create "intentionally good solutions".