An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation function.
Eduardo Vázquez-FernándezCarlos Artemio Coello CoelloFeliu Davino Sagols TroncosoPublished in: GECCO (Companion) (2011)
Keyphrases
- evaluation function
- evolutionary algorithm
- computer chess
- optimization problems
- iterative deepening
- game tree search
- game tree
- temporal difference learning
- two player games
- temporal difference
- td learning
- state action
- genetic algorithm
- optimality criterion
- decision problems
- branching factor
- monte carlo tree search
- general game playing
- alpha beta
- heuristic function
- brute force
- game playing
- artificial intelligence
- neural network
- heuristic search algorithms
- mathematical programming
- alpha beta pruning
- expected outcome