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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
