Fuzzy optimisation of labour allocation by genetic algorithms

Fuzzy optimisation of labour allocation by genetic algorithms

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...

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Veröffentlicht in:Engineering, construction, and architectural management construction, and architectural management, 2003-04, Vol.10 (2), p.146-155
Hauptverfasser: Tong, Thomas K.L., Tam, C.M.
Format: Artikel
Sprache:eng
Schlagworte:
Allocation models
Fuzzy sets
Genetic algorithms
Labour force
Multiskilling
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Zusammenfassung: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.
ISSN:0969-9988
1365-232X
DOI:10.1108/09699980310466613