Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/60976
Title: Dynamic adjustment of age distribution in human resource management by genetic algorithms
Authors: Napat Harnpornchai
Nopasit Chakpitak
Tirapot Chandarasupsang
Tuang Ath Chaikijkosi
Keshav Dahal
Keywords: Computer Science
Mathematics
Issue Date: 1-Dec-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: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955301302&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/60976
Appears in Collections:CMUL: Journal Articles

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