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Poon, C S, Yu, A T W and Ng, L H (2003) Comparison of low-waste building technologies adopted in public and private housing projects in Hong Kong. Engineering, Construction and Architectural Management, 10(02), 88–98.

Tan, W (2003) Building competitive advantage: construction education in Japan. Engineering, Construction and Architectural Management, 10(02), 78–87.

Tong, T K L (2003) Fuzzy optimisation of labour allocation by generic algorithms. Engineering, Construction and Architectural Management, 10(02), 146–55.

  • Type: Journal Article
  • Keywords: genetic algorithms; fuzzy sets; multi-skilling; labour force; Allocation models
  • ISBN/ISSN: 0969-9988
  • URL: http://titania.emeraldinsight.com/vl=1289930/cl=13/nw=1/rpsv/cw/mcb/09699988/v10n2/s6/p146
  • 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.

Underwood, J and Watson, A (2003) An XML metadata approach to seamless project information exchange between heterogeneous platforms.. Engineering, Construction and Architectural Management, 10(02), 128–45.

Vee, C and Skitmore, M R (2003) Professional ethics in the construction industry. Engineering, Construction and Architectural Management, 10(02), 117–27.