Improvement on the Genetic Algorithm and Its Application in Employee Performance Evaluation

摘要：

Aiming at the deficiencies of standard genetic algorithm, an improved algorithm is presented. Through improvement and expansion of genetic operators of standard genetic algorithm, the study enhances the operating efficiency and accuracy of fuzzy clustering analytical method which based on the improved genetic algorithm, applies it in the human resource management system, and conducts scientific and reasonable evaluation of employee performances.

关键词： genetic algorithm genetic operators fuzzy clustering analysis human resource managemen performance evaluation

作者: Minying Huang Rui Mou

作者单位: College of Computer Science & TechnologySouthwest University for NationalitiesChengdu, China College of Computer Science & Technology Southwest University for Nationalities Chengdu, China

会议类型: 国际会议

会议名称: 2010 3rd International Conference on Advanced Computer Theory and Engineering(2010年第三届先进计算机理论与工程国际会议 ICACTE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）