An evolutionary algorithm with a history mechanism for tuning a chess evaluation function

@article{VzquezFernndez2013AnEA,
  title={An evolutionary algorithm with a history mechanism for tuning a chess evaluation function},
  author={Eduardo V{\'a}zquez-Fern{\'a}ndez and C. Coello and F. Sagols},
  journal={Appl. Soft Comput.},
  year={2013},
  volume={13},
  pages={3234-3247}
}
  • Eduardo Vázquez-Fernández, C. Coello, F. Sagols
  • Published 2013
  • Computer Science
  • Appl. Soft Comput.
  • Here, we propose an evolutionary algorithm (i.e., evolutionary programming) for tuning the weights of a chess engine. Most of the previous work in this area has normally adopted co-evolution (i.e., tournaments among virtual players) to decide which players will pass to the following generation, depending on the outcome of each game. In contrast, our proposed method uses evolution to decide which virtual players will pass to the next generation based on the number of positions solved from a… CONTINUE READING
    2 Citations
    A GA based method for search-space reduction of chess game-tree
    • 3
    Comparison of search algorithms and heuristic methods in the solution of chess endgame problems

    References

    SHOWING 1-10 OF 27 REFERENCES
    An evolutionary algorithm for tuning a chess evaluation function
    • 4
    Using an Evolutionary Algorithm for the Tuning of a Chess Evaluation Function Based on a Dynamic Boundary Strategy
    • 10
    • PDF
    A Differential Evolution for the Tuning of a Chess Evaluation Function
    • 14
    An evolutionary approach for the tuning of a chess evaluation function using population dynamics
    • G. Kendall, G. Whitwell
    • Computer Science
    • Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)
    • 2001
    • 92
    • PDF
    Further Evolution of a Self-Learning Chess Program
    • 30
    • PDF
    A self-learning evolutionary chess program
    • 77
    • PDF