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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Vydané v:	Algorithms Ročník 10; číslo 4; s. 111
Hlavný autor:	Yang, Guanci
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2017
Predmet:	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
On-line prístup:	Získať plný text
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