Game Theory-Inspired Evolutionary Algorithm for Global Optimization

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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Bibliographic Details
Main Author: Guanci Yang
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Algorithms
Subjects:
game theory
game evolutionary algorithms (GameEA)
genetic algorithm
imitation
adaptive learning
optimization problems
Online Access:https://www.mdpi.com/1999-4893/10/4/111

Internet

https://www.mdpi.com/1999-4893/10/4/111

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