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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.

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.

  • Type: Journal Article
  • Keywords: Construction management; Optimization; Construction sites;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2008)134:9(739)
  • Abstract:
    Layout of temporary facilities on a construction site is essential to enhancing productivity and safety, and is a complex issue due to the unique nature of construction. This paper proposes a particle swarm optimization (PSO)-based methodology to solve the construction site unequal-area facility layout problem. A priority-based particle representation of the candidate solutions to the layout problem is proposed. The particle-represented solution in terms of priorities should be transformed to the specific layout plan with consideration of nonoverlap and geometric constraints. In addition, a modified solution space boundary handling approach is proposed for controlling particle updating with regard to the priority value range. Computational experiments are carried out to justify the efficiency of the proposed method and investigate its underlying performances. This study aims at providing an alternative and effective means for solving the construction site unequal-area layout problem by utilizing the PSO algorithm.