计算机科学 ›› 2009, Vol. 36 ›› Issue (11): 1-9.

• 综述 •    下一篇

图规划框架下的启发式搜索的研究与发展

谷文祥,王改革,殷明浩,孙焱   

  1. (东北师范大学计算机学院 长春130117);(中国科学院研究生院 北京100049);(中国科学院长春光学精密机械与物理研究所 长春1300330)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金项目(编号:60473042,60573067和60803102)资助。

Research and Development of Plangragph Based on Heuristic State Search

GU Wen-xiang,WANG Gai-ge,YIN Ming-hao,SUN Yan   

  • Online:2018-11-16 Published:2018-11-16

摘要: 随着智能规划研究的深入,以往的规划器已不能满足实际应用的需要。为了提高规划器求解实际问题的能力,启发式搜索产生了。对近10年来各种启发式搜索方法进行了分析,指出了它们的优缺点,并进行了比较。同时对智能规划及其启发式搜索的未来发展方向进行了分析与预测,旨在让研究和关心该领域的学者较为全面地了解这一领域。

关键词: 人工智能,智能规划,启发式搜索,图规划

Abstract: Traditionally, planning problems are cast in terms of imperative constraints that are either wholly satisfied or wholly violated. Heuristic search is generated and improves the performance of planner. A variety of heuristic searches were argued in the near decade, then the pros and cons of it were showed. At once, the future of heuristic search was also introduced.

Key words: AI, Intelligent planning, State heuristic search, GRAPHPLAN

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