Chess Player by Co-Evolutionary Algorithm

A co-evolutionary algorithm (CA) based chess player is presented. Implementation details of the algorithms, namely coding, population, variation operators are described. The alpha-beta or mini-max like behaviour of the player is achieved through two competitive or cooperative populations. Special attention is given to the fitness function evaluation. Preliminary test results showed the prove of principle and the program is able to defeat consistently beginner level players and rival experienced one, but it is still not a contender for other computer based implementations