Dynamic characteristics of a continuous optimization method based on fictitious play theory

In this paper, we propose a continuous optimization algorithm based on fictitious play theory and investigate the dynamic characteristics of the proposed algorithm. Fictitious play is a model for a learning rule in evolutionary game theory, and it can be used as an optimization method when all playe...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of the Korean Physical Society Vol. 70; no. 9; pp. 880 - 890
Main Author:	Lee, Chang-Yong
Format:	Journal Article
Language:	English
Published:	Seoul The Korean Physical Society 01.05.2017 Springer Nature B.V 한국물리학회
Subjects:	Continuity (mathematics) Dynamic characteristics Evolutionary algorithms Game theory Machine learning Mathematical and Computational Physics Optimization Optimization algorithms Particle and Nuclear Physics Physics Physics and Astronomy Players Theoretical 물리학 Bayesian estimate 1/f noise Continuous optimization algorithm Fictitious play theory Multifractal
ISSN:	0374-4884, 1976-8524
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!