Title :
Improvement on the genetic algorithm and its application in employee performance evaluation
Author :
Huang, Minying ; Mou, Rui
Author_Institution :
Coll. of Comput. Sci. & Technol., Southwest Univ. for Nat., Chengdu, China
Abstract :
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.
Keywords :
fuzzy set theory; genetic algorithms; incentive schemes; pattern clustering; performance evaluation; personnel; employee performance evaluation; fuzzy clustering analytical method; genetic algorithm; human resource management system; fuzzy clustering analysis; genetic algorithm; genetic operators; human resource management; performance evaluation;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579839
