| 発表年月日 | 2015/11/25 |
|---|---|
| 発表テーマ | "A Refined Case Based Genetic Algorithm for Intelligent Route Optimization" |
| 会議名 | The Eleventh International Conference on Signal-Image Technology and Internet-Based Systems (SITIS 2015) |
| 主催者 | SITIS |
| 開催地名 | Bangkok, Thailand |
| 学会区分 | 国際学会 |
| 発表形式 | 口頭（一般） |
| 単独共同区分 | 共同 |
| 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". |