Game Theory and Social Interaction for Selection and Crossover Pressure Control in Genetic Algorithms: An Empirical Analysis to Real-Valued Constrained Optimization.
Rodrigo Lisboa PereiraDaniel Leal SouzaMarco Antônio Florenzano MollinettiMario Tasso Ribeiro Serra NetoEdson Koiti Kudo YasojimaOtávio Noura TeixeiraRoberto Célio Limão de OliveiraPublished in: IEEE Access (2020)
Keyphrases
- real valued
- game theory
- social interaction
- constrained optimization
- genetic algorithm
- constraint handling
- selection operator
- game theoretic
- penalty function
- constrained optimization problems
- complex valued
- cooperative
- evolutionary algorithm
- crossover and mutation
- nash equilibrium
- genetic programming
- differential evolution
- crossover operator
- selection strategy
- genetic algorithm ga
- resource allocation
- objective function
- nash equilibria
- real valued data
- fitness function
- social media
- multi agent systems
- social networks
- particle swarm optimization
- fictitious play
- simulated annealing
- multi objective
- interaction styles
- genetic operators
- ranking functions
- evolutionary computation
- metaheuristic
- evolution strategy
- latent variables
- initial population
- decision problems
- fuzzy logic
- prior knowledge
- artificial neural networks
- multi agent