Clustering Analysis based on Adaptive Genetic Algorithm for Performance Assessment

摘要：

　　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.

关键词： adaptive genetic algorithm cluster analysis performance assessment

作者: Gao Xiangpeng Wang Jianhua Liang Shan

作者单位: Training Department,Shenyang Artillery Academy,Shenyang 110867,China Training Department,Shenyang Artillery Academy,Shenyang 110867,China;Shenyang Cultural Broadcasting 119 Military Representative Office,General Armament Department,110000,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 1682-1686

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）