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A multiobjective construction site layout and safety planning model based on evolutionary algorithms
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AI
DOI：10.1016/j.engappai.2025.113177.png)
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Abstract
En 中文
The critical facilities at energy production bases and forward military bases are often targeted by explosive terrorist attacks, which can result in casualties, economic losses, and disruptions to base operations. Site layout planning and security planning are effective methods for addressing this issue. Therefore, a multiobjective optimization model that considers explosive terrorist attacks is proposed in this study to address site layout and security planning issues. The model considers three objectives: (1) minimizing the consequences of explosive terrorist attacks; (2) minimizing site construction costs; and (3) minimizing operational impacts on sites. Based on the characteristics of the proposed model, a dual-algorithm collaborative optimization framework combining evolutionary and greedy algorithms is designed to solve the model, providing decision makers with a set of optimal solutions that balance conflicting objectives. Finally, the effectiveness of the model and algorithms is validated through a case study. The literature rarely addresses the issues of construction site layout and safety planning under the threat of explosive terrorist attacks. This study not only enriches the literature on construction site layout planning but also provides practical solutions for solving real-world planning problems.
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