Study on system modeling and optimization of static evaluation based on the computer game of draughts

The static evaluation system is the core in the research of computer games. It remains to be a pending problem that complicated draughts rules and specific decision-making methods are to be given accurate digitized description. A static evaluation system contains some parameters to be solved and optimized which determine the evaluating accuracy and then affect the performance of the whole computer games system. Based on the computer games of droughts (100), this paper establishes a developed model of static evaluation systems, meanwhile applying the adaptive genetic algorithm to combinatorial optimization of system parameters. The experimental result shows perfect performance of the model, and higher performance given by parametric optimization. The model established in this paper can reasonably evaluate features in the current situation, and give numerical calculation more accurately with its modeling parameters optimized by adaptive genetic algorithm, consequently contributing to a higher-performing system.