An evolutionary algorithm for tuning a chess evaluation function.
Eduardo Vázquez-FernándezCarlos A. Coello CoelloFeliu Davino Sagols TroncosoPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- evaluation function
- evolutionary algorithm
- computer chess
- simulated annealing
- differential evolution
- fitness function
- two player games
- heuristic function
- temporal difference
- function optimization
- game tree
- temporal difference learning
- td learning
- genetic algorithm
- mutation operator
- alpha beta
- game tree search
- state action
- branching factor
- general game playing
- alpha beta pruning
- iterative deepening
- optimality criterion
- monte carlo tree search
- heuristic search algorithms
- convergence speed
- monte carlo search