Chapter

Adaptive and Natural Computing Algorithms

Volume 4431 of the series Lecture Notes in Computer Science pp 432-440

Evolutionary Approach to the Game of Checkers

  • Magdalena KusiakAffiliated withFaculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw
  • , Karol WalędzikAffiliated withFaculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw
  • , Jacek MańdziukAffiliated withFaculty of Mathematics and Information Science, Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw

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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.