作者
Nicos G Pavlidis, Kostantinos E Parsopoulos, Michael N Vrahatis
发表日期
2005/3/1
期刊
Journal of Computational and Applied Mathematics
卷号
175
期号
1
页码范围
113-136
出版商
North-Holland
简介
Nash equilibrium constitutes a central solution concept in game theory. The task of detecting the Nash equilibria of a finite strategic game remains a challenging problem up-to-date. This paper investigates the effectiveness of three computational intelligence techniques, namely, covariance matrix adaptation evolution strategies, particle swarm optimization, as well as, differential evolution, to compute Nash equilibria of finite strategic games, as global minima of a real-valued, nonnegative function. An issue of particular interest is to detect more than one Nash equilibria of a game. The performance of the considered computational intelligence methods on this problem is investigated using multistart and deflection.
引用总数
学术搜索中的文章
NG Pavlidis, KE Parsopoulos, MN Vrahatis - Journal of Computational and Applied Mathematics, 2005