DocumentCode
2384504
Title
A PSO based algorithm for finding global Nash equilibrium
Author
Peydayesh, M.
Author_Institution
ECE Dept., Univ. of Texas at Austin, Austin, TX, USA
fYear
2010
fDate
25-29 July 2010
Firstpage
1
Lastpage
6
Abstract
Nash equilibrium (NE) is an essential concept of game theory. Researchers have shown that iterative NE search algorithms based on local optimization cannot differentiate between the global NE and local NE in games with local optima. In this paper, an algorithm based on Particle Swarm Optimization (PSO) is introduced which can find the global NE in games with local optima. The applicability of this proposed method is shown via two power system case studies to find the NE in power market.
Keywords
game theory; particle swarm optimisation; power markets; PSO; game theory; global Nash equilibrium; particle swarm optimization; power market; Nash Equilibrium (NE); Particle Swarm Optimization (PSO); game theory; transmission constrained electricity markets;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting, 2010 IEEE
Conference_Location
Minneapolis, MN
ISSN
1944-9925
Print_ISBN
978-1-4244-6549-1
Electronic_ISBN
1944-9925
Type
conf
DOI
10.1109/PES.2010.5589876
Filename
5589876
Link To Document