An evolutionary algorithm coupled with the Hooke-Jeeves algorithm for tuning a chess evaluation function.
Eduardo Vázquez-FernándezCarlos A. Coello CoelloFeliu Davino Sagols TroncosoPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- evaluation function
- hooke jeeves
- evolutionary algorithm
- alpha beta
- search space
- np hard
- optimization algorithm
- iterative deepening
- td learning
- combinatorial optimization
- optimality criterion
- reinforcement learning
- search algorithm
- two player games
- temporal difference learning
- function optimization
- depth first search
- heuristic function
- search problems
- optimal solution
- convergence rate
- particle swarm optimization
- worst case