Differential evolution particle swarm optimization algorithm based on good point set for computing Nash equilibrium of finite noncooperative game

In this paper, a hybrid differential evolution particle swarm optimization (PSO) method based on a good point set (GPDEPSO) is proposed to compute a finite noncooperative game among N people. Stochastic functional analysis is used to prove the convergence of this algorithm. First, an ergodic initial...

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Veröffentlicht in:	AIMS mathematics Jg. 6; H. 2; S. 1309 - 1323
Hauptverfasser:	Li, Huimin, Xiang, Shuwen, Yang, Yanlong, Liu, Chenwei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	AIMS Press 01.01.2021
Schlagworte:	differential evolution particle swarm optimization algorithm good point set high-dimensional payoff matrix nash equilibrium non-cooperative game
ISSN:	2473-6988, 2473-6988
Online-Zugang:	Volltext
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