Dynamic adjustment of age distribution in human resource management by genetic algorithms
Adjustment of a given age distribution to a desired age distribution within a required time frame is dynamically performed for the purpose of Human Resource (HR) planning in Human Resource Management (HRM). The adjustment process is carried out by adding the adjustment magnitudes to the existing num...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
|
| 在線閱讀: | http://www.scopus.com/inward/record.url?eid=2-s2.0-79955301302&partnerID=40&md5=fecb43af99109aaaab375e94c77ce3e3 http://cmuir.cmu.ac.th/handle/6653943832/948 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 總結: | Adjustment of a given age distribution to a desired age distribution within a required time frame is dynamically performed for the purpose of Human Resource (HR) planning in Human Resource Management (HRM). The adjustment process is carried out by adding the adjustment magnitudes to the existing number of employees at the selected age groups on the yearly basis. A model of a discrete dynamical system is employed to emulate the evolution of the age distribution used under the adjustment process. Genetic Algorithms (GA) is applied for determining the adjustment magnitudes that influence the dynamics of the system. An interesting aspect of the problem lies in the high number of constraints; though the constraints are fundamental, they are considerably higher in number than in many other optimization problems. An adaptive penalty scheme is proposed for handling the constraints. Numerical examples show that GA with the utilized adaptive penalty scheme provides potential means for HR planning in HRM. © 2007 IEEE. |
|---|