首页    期刊浏览 2025年02月20日 星期四
登录注册

文章基本信息

  • 标题:Multi-State Real-Time Bidirectional Search
  • 本地全文:下载
  • 作者:Makoto Koshino ; Hiroaki Murata ; Masatoshi Shirayama
  • 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:2004
  • 卷号:19
  • 期号:1
  • 页码:68-72
  • DOI:10.1527/tjsai.19.68
  • 出版社:The Japanese Society for Artificial Intelligence
  • 摘要:This paper presents Multi-State Real-Time Bidirectional Search (MSRTBS), a method that improves the efficiency of the heuristic search algorithm for finding approximate solutions. Real-Time A* (RTA*) is a representative heuristic search algorithm for finding approximate solutions. The Multi-State Commitment (MSC) method was introduced into RTA* and dramatically improved the performance in problems such as the N-puzzle. As well, Real-Time Bidirectional Search (RTBS) also improved RTA* by changing a unidirectional search into a bidirectional one. This paper proposed a method that introduces MSC into RTBS. The experimental results showed that compared with RTBS and MSC our proposed method, MSRTBS, improved executed time and solution quality in the N-Puzzle.
  • 关键词:heuristic search ; bidirectional search ; real--time A* ; commitment
国家哲学社会科学文献中心版权所有