Analyzing Genetic Algorithm with Game Theory and Adjusted Crossover Approach on Engineering Problems.
Edson Koiti Kudo YasojimaRoberto Célio Limão de OliveiraOtávio Noura TeixeiraRodrigo Lisboa PereiraMarco A. F. MollinettiPublished in: HIS (2015)
Keyphrases
- game theory
- engineering problems
- genetic algorithm
- game theoretic
- engineering design
- multiobjective optimization
- cooperative
- crossover operator
- multi objective
- nash equilibrium
- evolutionary algorithm
- search based software engineering
- biological systems
- genetic algorithm ga
- genetic programming
- mechanism design
- resource allocation
- fictitious play
- mutation operator
- neural network
- differential evolution
- multi agent systems
- statistical physics
- simulated annealing
- fitness function
- evolutionary computation
- multi objective optimization
- genetic operators
- nash equilibria
- crossover and mutation
- artificial immune system
- imperfect information
- artificial intelligence
- particle swarm optimization
- cooperative game theory
- job shop scheduling problem
- min max
- fuzzy logic
- reinforcement learning
- evolutionary computing
- solution concepts
- nsga ii
- optimization algorithm