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Chan, S L (2002) Responses of selected economic indicators to construction output shocks: the case of Singapore. Construction Management and Economics, 20(06), 523-33.

Emsley, M W, Lowe, D J, Duff, A R, Harding, A and Hickson, A (2002) Data modelling and the application of a neural network approach to the prediction of total construction costs. Construction Management and Economics, 20(06), 465-72.

Goulding, J S and Al-Shawi, M (2002) Generic and specific IT training: a process protocol model for construction. Construction Management and Economics, 20(06), 493-505.

Lingard, H and Sublet, A (2002) The impact of job and organizational demands on marital or relationship satisfaction and conflict among Australia civil engineers. Construction Management and Economics, 20(06), 507-21.

Marzouk, M and Moselhi, O (2002) Simulation optimization for earthmoving operations using genetic algorithms. Construction Management and Economics, 20(06), 535-43.

  • Type: Journal Article
  • Keywords: genetic algorithms; simulation optimization; earthmoving; equipment selection
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190210156064
  • Abstract:

    This paper presents a methodology for simulation optimization utilizing genetic algorithms and applies it to a newly developed simulation-based system for estimating the time and cost of earthmoving operations. The genetic algorithm searches for a near-optimum fleet configuration that reduces project total cost, and considers a set of qualitative and quantitative variables that influence earthmoving operations. Qualitative variables represent the models of equipment used in each fleet scenario, whereas quantitative variables represent the number of items of equipment involved in each scenario. Pilot simulation runs were carried out for all configurations generated by the developed algorithm, and a complete simulation analysis was then performed for the fleet recommended by the algorithm. The numerical example demonstrates the use of the proposed methodology and illustrates its essential features

Ngai, S C, Drew, D S, Low, H P and Skitmore, M (2002) A theoretical framework for determining the minimum number of bidders in construction bidding competitions. Construction Management and Economics, 20(06), 473-82.

Shi, J J (2002) Three methods for verifying and validating the simulation of a construction operation. Construction Management and Economics, 20(06), 483-91.