Title :
Finding Nash Equilibrium Point of Nonlinear Non-cooperative Games Using Coevolutionary Strategies
Author :
Razi, Kamran ; Shahri, Saied Haidarian ; Kian, Ashkan Rahimi
Author_Institution :
Univ. of Tehran, Tehran
Abstract :
In this paper a coevolutionary algorithm is developed to find the Nash equilibrium (NE) points of nonlinear games. Using the global search property of the evolutionary strategy enables the proposed algorithm to find the admissible NE and escape from trapping in local optimums. Several numerical examples are presented to show the effectiveness of this method for both dynamic and static games.
Keywords :
decision theory; evolutionary computation; game theory; iterative methods; search problems; Nash equilibrium; coevolutionary strategy; global search property; iterative algorithm; nonlinear noncooperative game; Application software; Control systems; Design engineering; Game theory; Intelligent control; Intelligent systems; Iterative algorithms; Nash equilibrium; Nonlinear control systems; Process control;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.41
