Game Theory-Inspired Evolutionary Algorithm for Global Optimization

Many approaches that model specific intelligent behaviors perform excellently in solving complex optimization problems. Game theory is widely recognized as an important tool in many fields. This paper introduces a game theory-inspired evolutionary algorithm for global optimization (GameEA). A formul...

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Veröffentlicht in:	Algorithms Jg. 10; H. 4; S. 111
1. Verfasser:	Yang, Guanci
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.12.2017
Schlagworte:	adaptive learning Chromosomes Copying Decision making Evolutionary algorithms game evolutionary algorithms (GameEA) Game theory Gene sequencing genetic algorithm Genetic algorithms Global optimization imitation Learning optimization problems
ISSN:	1999-4893, 1999-4893
Online-Zugang:	Volltext
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