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Approaches for BIM-based multi-objective optimization in construction scheduling
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DOI：10.1016/j.asej.2023.102114.png)
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摘要
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Construction scheduling is a complex process due to the interdependence and contradiction of project activities. This requires applying population-based optimization algorithms like evolutionary algorithms to reach optimal solutions. However, when optimizing more than three objectives, the efficiency of such algorithms degrades and trade-offs among conflicting objectives must be made to obtain an optimal Pareto Frontier. Recently, there have been attempts to integrate Building Information Modelling (BIM) with Multi-Objective Optimization (MOO) algorithms to solve building design and management problems like construction. This paper aims to assess the potential of developing models that combine information systems and optimization methods for better decision-making process. A structured literature review is provided giving insights on the predominant multi-objective optimization approaches and the active BIM-based optimization models, with an emphasis on the potential of providing more effective and robust construction process that combine BIM with optimization tools. Finally, gaps are addressed, and recommendations are proposed for future research development.(c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/ by-nc-nd/4.0/).
Keyword:
Multi -objective optimization (MOO)
Genetic algorithms (GA)
Building information modelling (BIM)
Construction scheduling
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