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Abowitz, D A and Toole, T M (2010) Mixed Method Research: Fundamental Issues of Design, Validity, and Reliability in Construction Research. Journal of Construction Engineering and Management, 136(01), 108–16.

Azhar, S, Ahmad, I and Sein, M K (2010) Action Research as a Proactive Research Method for Construction Engineering and Management. Journal of Construction Engineering and Management, 136(01), 87–98.

Bernold, L E and Lee, T S (2010) Experimental Research in Construction. Journal of Construction Engineering and Management, 136(01), 26–35.

Flood, I and Issa, R R A (2010) Empirical Modeling Methodologies for Construction. Journal of Construction Engineering and Management, 136(01), 36–48.

Gibson, G E and Whittington, D A (2010) Charrettes as a Method for Engaging Industry in Best Practices Research. Journal of Construction Engineering and Management, 136(01), 66–75.

Green, S D, Kao, C and Larsen, G D (2010) Contextualist Research: Iterating between Methods While Following an Empirically Grounded Approach. Journal of Construction Engineering and Management, 136(01), 117–26.

Hallowell, M R and Gambatese, J A (2010) Qualitative Research: Application of the Delphi Method to CEM Research. Journal of Construction Engineering and Management, 136(01), 99–107.

Kandil, A, El-Rayes, K and El-Anwar, O (2010) Optimization Research: Enhancing the Robustness of Large-Scale Multiobjective Optimization in Construction. Journal of Construction Engineering and Management, 136(01), 17–25.

  • Type: Journal Article
  • Keywords: Optimization models; Parallel processing; Resource management; Housing; Multiple objective analysis; Linear analysis; Algorithms; Construction industry; Optimization models; Parallel processing; Resource management; Housing; Multiple objective analysis; L
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000140
  • Abstract:
    Many construction planning problems require optimizing multiple and conflicting project objectives such as minimizing construction time and cost while maximizing safety, quality, and sustainability. To enable the optimization of these construction problems, a number of research studies focused on developing multiobjective optimization algorithms (MOAs). The robustness of these algorithms needs further research to ensure an efficient and effective optimization of large-scale real-life construction problems. This paper presents a review of current research efforts in the field of construction multiobjective optimization and two case studies that illustrate methods for enhancing the robustness of MOAs. The first case study utilizes a multiobjective genetic algorithm (MOGA) and an analytical optimization algorithm to optimize the planning of postdisaster temporary housing projects. The second case study utilizes a MOGA and parallel computing to optimize the planning of construction resource utilization in large-scale infrastructure projects. The paper also presents practical recommendations based on the main findings of the analyzed case studies to enhance the robustness of multiobjective optimization in construction engineering and management.

Leicht, R M, Hunter, S T, Saluja, C and Messner, J I (2010) Implementing Observational Research Methods to Study Team Performance in Construction Management. Journal of Construction Engineering and Management, 136(01), 76–86.

Lucko, G and Mitchell, Z W (2010) Quantitative Research: Preparation of Incongruous Economic Data Sets for Archival Data Analysis. Journal of Construction Engineering and Management, 136(01), 49–57.

Lucko, G and Rojas, E M (2010) Research Validation: Challenges and Opportunities in the Construction Domain. Journal of Construction Engineering and Management, 136(01), 127–35.

Martinez, J C (2010) Methodology for Conducting Discrete-Event Simulation Studies in Construction Engineering and Management. Journal of Construction Engineering and Management, 136(01), 3–16.

Phelps, A F and Horman, M J (2010) Ethnographic Theory-Building Research in Construction. Journal of Construction Engineering and Management, 136(01), 58–65.