Clustering analysis based on adaptive genetic algorithm for performance assessment

This paper analyses and studies genetic algorithm and classical clustering algorithms, and then the demand analysis and design of the personnel management system of Shenyang Administration College. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation. Theory and experiment shows that the algorithm can concluded some results of having meaning practically to guide college personnel management.