A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
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 “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.
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 “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.
Fuzzy optimisation of labour allocation by genetic algorithms
Tong, Thomas K.L. (author) / Tam, C.M. (author)
Engineering, Construction and Architectural Management ; 10 ; 146-155
2003-04-01
10 pages
Article (Journal)
Electronic Resource
English
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