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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Vydané v:	Journal of the Korean Physical Society Ročník 70; číslo 9; s. 880 - 890
Hlavný autor:	Lee, Chang-Yong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Seoul The Korean Physical Society 01.05.2017 Springer Nature B.V 한국물리학회
Predmet:	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
On-line prístup:	Získať plný text
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