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Bojic, M, Yik, F and Lee, M (2003) Influence of air-conditioning exhaust on exterior recessed space. Building Research & Information, 31(01), 25–34.

Boudeau, C (2013) Design team meetings and the coordination of expertise: the roof garden of a hospital. Construction Management and Economics, 31(01), 78-89.

Chew, M Y L and Silva, N D (2003) Maintainability problems of wet areas in high-rise residential buildings. Building Research & Information, 31(01), 60–9.

Crawford, R H, Treloar, G J, Iiozor, B D and Love, P E D (2003) Competitive greenhouse emissions analysis of domestic solar hot water systems. Building Research & Information, 31(01), 34–47.

Feriadi, H, Hien, N, Chandra, S and Cheong, K W (2003) Adaptive behaviour and thermal comfort in Singapore's naturally ventilated housing. Building Research & Information, 31(01), 13–23.

Fuller, R J and Luther, M B (2003) Simulation of condensation problems in a roller skating centre. Building Research & Information, 31(01), 48–59.

Håkansson, H and Ingemansson, M (2013) Industrial renewal within the construction network. Construction Management and Economics, 31(01), 40-61.

Kim, J-L (2013) Genetic algorithm stopping criteria for optimization of construction resource scheduling problems. Construction Management and Economics, 31(01), 3-19.

  • Type: Journal Article
  • Keywords: comparative studies; genetic algorithms heuristics; optimization; resource allocation
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2012.697181
  • Abstract:
    Genetic algorithms (GAs) have been widely applied in the civil and construction engineering management research domain to solve difficult and complex problems such as resource-constrained project scheduling problems (RCPSPs). Generally, a trial-and-error calibration approach is used to identify values for the GA parameters. Unlike with other parameters, few studies have been done, theoretically or experimentally, for determining when to terminate GA for optimization of the RCPSP. Two genetic algorithm stopping conditions are compared to demonstrate their suitability for application in the RCPSP and to assess their ability in searching optimal solutions efficiently. The extensive computational results show that the Elitist GA, when using the unique schedule method, provides 10% more optimum values than those obtained from the Elitist GA when using the iteration method with 24% less computational time. The unique schedule stopping approach can be valuable for GA users to design their purpose driven GA for optimization of the RCPSP as it provides a better near-optimal solution with reduced computational time.

Koskela, L (2003) Is structural change the primary solution to the problems of construction?. Building Research & Information, 31(01), 85–96.

Langston, C (2013) The role of coordinate-based decision-making in the evaluation of sustainable built environments. Construction Management and Economics, 31(01), 62-77.

Raisbeck, P and Tang, L C M (2013) Identifying design development factors in Australian PPP projects using an AHP framework. Construction Management and Economics, 31(01), 20-39.

Sunikka, M and Boon, C (2003) Environmental policies and efforts in social housing: the Netherlands. Building Research & Information, 31(01), 1–12.