Shaping fitness function for evolutionary learning of game strategies.
Marcin Grzegorz SzubertWojciech JaskowskiPawel LiskowskiKrzysztof KrawiecPublished in: GECCO (2013)
Keyphrases
- fitness function
- evolutionary learning
- evolutionary computation
- genetic programming
- evolutionary algorithm
- genetic algorithm
- cooperative behavior
- genetic algorithm ga
- optimal strategy
- modular neural networks
- genetic operators
- repeated games
- optimal parameter settings
- fitness evaluation
- computer games
- game playing
- search space
- swarm intelligence
- constrained optimization problems
- crossover operator
- particle swarm
- game theory
- crossover and mutation
- evolutionary search
- initial population
- nash equilibrium
- particle swarm optimization pso
- evolutionary process
- optimization problems
- genetic algorithm is employed
- similarity measure
- fitness landscape
- binary particle swarm optimization