Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization

Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization

Game Theory (GT) formalizes dispute scenarios between two or more players where each one makes a move following their strategy profiles. The following paper introduces the integration of GT to selection and crossover steps of Genetic Algorithms as an evolutionary model of the representation of popul...

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Bibliographic Details
Main Authors: Rodrigo Lisboa Pereira, Daniel Leal Souza, Marco Antonio Florenzano Mollinetti, Mario T. R. Serra Neto, Edson Koiti Kudo Yasojima, Otavio Noura Teixeira, Roberto Celio Limao De Oliveira
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Genetic algorithms
game theory
constrained optimization
selective pressure
Online Access:https://ieeexplore.ieee.org/document/9159113/

Internet

https://ieeexplore.ieee.org/document/9159113/

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