计算机科学 ›› 2006, Vol. 33 ›› Issue (9): 173-174.

• 计算机网络与信息安全 • 上一篇    下一篇

基于数学形态学的围棋棋群聚类算法

岳鹏 刘洪涛 邱玉辉   

  1. 西南大学智能软件与软件工程重点实验室,重庆400715
  • 出版日期:2018-11-17 发布日期:2018-11-17

YUE Peng, LIU Hong-Tao ,QIU Yu-Hui (The Key Laboratory of Intelligent Software and Software Project, Southwest University, Chongqing 400715)   

  • Online:2018-11-17 Published:2018-11-17

摘要: 计算机围棋可以模拟人类棋手的棋群聚类能力以提高搜索效率。本研究以数学形态学为工具,在形式化基础上采用带有限制条件的膨胀运算进行棋群的初步聚类,结合其它一些启发式搜索方法完成棋群的最终聚类,并结合实战对局评价了此算法的性能,指出了此算法的应用价值。

关键词: 数学形态学 计算机围棋 聚类

Abstract: The computer go can simulate human player's go group clustering ability to improve its searching efficiency. This study, taking mathematical morphology as a tool, based on the formalization, adopts constrained dilating operation to undergo preliminary clu

Key words: Mathematical morphology, Computer go, Cluster

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