Improvement on the genetic algorithm and its application in employee performance evaluation

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.