Solution of Pursuit/Evasion Differential Games Using Genetic Algorithms

被引:0
作者
Li, Zhen [1 ]
Yu, Xinjie [1 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, State Key Lab Power Syst, Beijing 100084, Peoples R China
来源
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词
differential games; saddle points; genetic algorithms;
D O I
10.1109/WCICA.2008.4593413
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Differential Games (DG) uses differential equation(s) to model the state varying of two (or more) sides in games. Saddle point is the solution of DG which is the emphasis and the difficult point in DG especially Pursuit/Evasion DG (PEDG) study. In this text, saddle point and its meaning was discussed, numerical solution methods of saddle point of PEDG were assorted, three kinds of models were studied while using genetic algorithms (GA) and genetic programming (GP) to solve PEDG The correctness of one kind of these models is proved by comparing the numerical solution with the analytic solution of a simple problem.
引用
收藏
页码:3077 / 3080
页数:4
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