International Conference on Adaptive and Natural Computing Algorithms

ICANNGA 2007: Adaptive and Natural Computing Algorithms pp 432-440

Evolutionary Approach to the Game of Checkers

  • Magdalena Kusiak
  • Karol Walędzik
  • Jacek Mańdziuk
Conference paper

DOI: 10.1007/978-3-540-71618-1_48

Volume 4431 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Kusiak M., Walędzik K., Mańdziuk J. (2007) Evolutionary Approach to the Game of Checkers. In: Beliczynski B., Dzielinski A., Iwanowski M., Ribeiro B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4431. Springer, Berlin, Heidelberg

Abstract

A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algorithms for this task are pointed out and discussed. Experimental results confirm that proposed approach leads to efficient evaluation functions comparable to the ones used in some of commercial applications.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Magdalena Kusiak
    • 1
  • Karol Walędzik
    • 1
  • Jacek Mańdziuk
    • 1
  1. 1.Faculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-661 WarsawPoland