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  • 标题:Route Selection with Unspecified Sites Using Knowledge Based Genetic Algorithm
  • 本地全文:下载
  • 作者:Hitoshi Kanoh ; Nobuaki Nakamura ; Tomohiro Nakamura
  • 期刊名称:人工知能学会論文誌
  • 印刷版ISSN:1346-0714
  • 电子版ISSN:1346-8030
  • 出版年度:2002
  • 卷号:17
  • 期号:2
  • 页码:145-152
  • DOI:10.1527/tjsai.17.145
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:This paper addresses the problem of selecting a route to a given destination that traverses several non-specific sites (e.g. a bank, a gas station) as requested by a driver. The proposed solution uses a genetic algorithm that includes viral infection. The method is to generate two populations of viruses as domain specific knowledge in addition to a population of routes. A part of an arterial road is regarded as a main virus, and a road that includes a site is regarded as a site virus. An infection occurs between two points common to a candidate route and the virus, and involves the substitution of the intersections carried by the virus for those on the existing candidate route. Crossover and infection determine the easiest-to-drive and quasi-shortest route through the objective landmarks. Experiments using actual road maps show that this infection-based mechanism is an effective way of solving the problem. Our strategy is general, and can be effectively used in other optimization problems.
  • 关键词:planning ; search ; route ; navigation ; genetic algorithm ; knowledge ; virus ; infection
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