首页 | 本学科首页   官方微博 | 高级检索  
     

一种新的博弈树搜索方法
引用本文:张明亮,李凡长.一种新的博弈树搜索方法[J].山东大学学报(工学版),2009,39(6):1-7.
作者姓名:张明亮  李凡长
作者单位:张明亮 :苏州科技学院电子与信息工程学院, 江苏 苏州 215011; 
张明亮 李凡长:.苏州大学计算机科学与技术学院, 江苏 苏州 215006
摘    要:通过对机器博弈主要搜索算法的深入分析和实践,提出了在博弈树一层结点中以广度优先方式,运用接力式空窗探测技术反复淘汰到只剩一个结点的新搜索方法. 该方法面向应用,搜索过程易控,理论上的最小搜索极限小于极小博弈树. 对比实验表明,该算法平均搜索效率高于PVS搜索和MTD(f)方法,并且使用该方法的迭代深化对博弈树优化效果最佳,从而使迭代深化搜索应用范围更加广泛. 

关 键 词:博弈树  极小树  空窗探测  迭代深化  广度优先  五子棋  
收稿时间:2009-07-19

A new search method for a game tree
ZHANG Ming-liang,LI Fan-zhang.A new search method for a game tree[J].Journal of Shandong University of Technology,2009,39(6):1-7.
Authors:ZHANG Ming-liang  LI Fan-zhang
Affiliation:  ZHANG Ming-Liang:Electronics & Information College, Suzhou University of Science and Technology, Suzhou 215011, China;
 ZHANG Ming-Liang, LI Fan-Chang: College of Computer Science and Technology, Soochow University, Suzhou 215006, China
Abstract:A new search method was given for a game-tree with breadth-firstin the first layer nodes and continuously minimal window test by deep analysis on game-tree search algorithms. It was good for the application and the processof search was easier for control, and may build a smaller search tree than the minimalgame-tree in theory. Comparison experiments indicate that the efficiency of thistechnique outperforms the PVS and MTD(f) method. Another speriority is tooptimize a game-tree by an iterative-deepening search, and to make the overall efficiency of iterative-deepening exceed a one-off game tree search.
Keywords:game-tree  minimal tree  null window search  iterative-deepening search  breadth-first  gobang
本文献已被 万方数据 等数据库收录!
点击此处可从《山东大学学报(工学版)》浏览原始摘要信息
点击此处可从《山东大学学报(工学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号