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Aibinu, A A, Ofori, G and Ling, F Y (2008) Explaining Cooperative Behavior in Building and Civil Engineering Projects’ Claims Process: Interactive Effects of Outcome Favorability and Procedural Fairness. Journal of Construction Engineering and Management, 134(09), 681–91.

Chan, E H and Au, M C (2008) Relationship between Organizational Sizes and Contractors’ Risk Pricing Behaviors for Weather Risk under Different Project Values and Durations. Journal of Construction Engineering and Management, 134(09), 673–80.

Lucko, G (2008) Productivity Scheduling Method Compared to Linear and Repetitive Project Scheduling Methods. Journal of Construction Engineering and Management, 134(09), 711–20.

Ndekugri, I, Braimah, N and Gameson, R (2008) Delay Analysis within Construction Contracting Organizations. Journal of Construction Engineering and Management, 134(09), 692–700.

Ng, S T and Zhang, Y (2008) Optimizing Construction Time and Cost Using Ant Colony Optimization Approach. Journal of Construction Engineering and Management, 134(09), 721–8.

  • Type: Journal Article
  • Keywords: Optimization; Project management; Time factors;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:9(721)
  • Abstract:
    Time and cost are the most important factors to be considered in every construction project. In order to maximize the return, both the client and contractor would strive to optimize the project duration and cost concurrently. Over the years, many research studies have been conducted to model the time–cost relationships, and the modeling techniques range from the heuristic methods and mathematical approaches to genetic algorithms. Despite that, previous studies often assumed the time being constant leaving the analyses based purely on a single objective—cost. Acknowledging the significance of time–cost optimization, an evolutionary-based optimization algorithm known as ant colony optimization is applied to solve the multiobjective time–cost optimization problems. In this paper, the basic mechanism of the proposed model is unveiled. Having developed a program in the Visual Basic platform, tests are conducted to compare the performance of the proposed model against other analytical methods previously used for time–cost modeling. The results show that the ant colony system approach is able to generate better solutions without utilizing much computational resources which provides a useful means to support planners and managers in making better time–cost decisions efficiently.

Peña-Mora, F, Han, S, Lee, S and Park, M (2008) Strategic-Operational Construction Management: Hybrid System Dynamics and Discrete Event Approach. Journal of Construction Engineering and Management, 134(09), 701–10.

Sohail, M and Cavill, S (2008) Accountability to Prevent Corruption in Construction Projects. Journal of Construction Engineering and Management, 134(09), 729–38.

Wong, J M W, Chan, A P C and Chiang, Y H (2008) Modeling and Forecasting Construction Labor Demand: Multivariate Analysis. Journal of Construction Engineering and Management, 134(09), 664–72.

Zhang, H and Wang, J Y (2008) Particle Swarm Optimization for Construction Site Unequal-Area Layout. Journal of Construction Engineering and Management, 134(09), 739–48.