Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/948
Title: Dynamic adjustment of age distribution in human resource management by genetic algorithms
Authors: Harnpornchai N.
Chakpitak N.
Chandarasupsang T.
Chaikijkosi T.-A.
Dahal K.
Issue Date: 2007
Abstract: 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.
URI: http://www.scopus.com/inward/record.url?eid=2-s2.0-79955301302&partnerID=40&md5=fecb43af99109aaaab375e94c77ce3e3
http://cmuir.cmu.ac.th/handle/6653943832/948
ISBN: 1424413400; 9781424413409
Appears in Collections:CAMT: Journal Articles

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