Fitness function to find game equilibria using genetic algorithms.
Mahathi GunturuGiridhar N. ShakaradSanjay SinghPublished in: ICACCI (2017)
Keyphrases
- fitness function
- genetic algorithm
- game theoretic
- nash equilibrium
- nash equilibria
- game theory
- genetic programming
- pure strategy
- evolutionary algorithm
- genetic algorithm ga
- games with incomplete information
- extensive form games
- pure nash equilibria
- evolutionary computation
- repeated games
- genetic operators
- fitness evaluation
- search space
- crossover operator
- incomplete information
- stochastic games
- particle swarm
- artificial neural networks
- constrained optimization problems
- mixed strategy
- neural network
- mutation rate
- evolutionary search
- particle swarm optimisation
- genetic algorithm is employed
- evolutionary process
- multi objective
- mutation operator
- video games
- decision problems
- crossover and mutation
- binary particle swarm optimization
- computer games
- optimization method
- particle swarm optimization
- candidate solutions
- initial population
- fuzzy logic
- simulated annealing
- tabu search