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...

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Veröffentlicht in:	Journal of the Korean Physical Society Jg. 70; H. 9; S. 880 - 890
1. Verfasser:	Lee, Chang-Yong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Seoul The Korean Physical Society 01.05.2017 Springer Nature B.V 한국물리학회
Schlagworte:	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-Zugang:	Volltext
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