Fuzzy optimisation of labour allocation by genetic algorithms
Engineering, Construction and Architectural Management
ISSN: 0969-9988
Article publication date: 1 April 2003
Abstract
Multi‐skilled labour allocation in a defined time frame falls into the class of non‐polynomial (NP) hard problems, solutions to which can only be obtained through repeated trials and errors. The application of fuzzy genetic algorithms (GA) optimisation model provides an efficient way to arrive at a “near‐optimal” solution. In this paper, a fuzzy GA optimisation model of labour allocation is presented to illustrate how the near optimal solution can be obtained.
Keywords
Citation
Tong, T.K.L. and Tam, C.M. (2003), "Fuzzy optimisation of labour allocation by genetic algorithms", Engineering, Construction and Architectural Management, Vol. 10 No. 2, pp. 146-155. https://doi.org/10.1108/09699980310466613
Publisher
:MCB UP Ltd
Copyright © 2003, MCB UP Limited