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".