@inproceedings{5cdc1e349b04495aa7b6c171d4897bcc,
title = "Construction Site Layout Optimization Algorithm Based on MOPSO",
abstract = "This paper investigates the construction site layout problem. A multi-objective optimization problem is formulated with the objectives of minimizing the layout cost and the negative impact coefficient of the site scheme. A piecewise linear attenuation model is established to describe the negative influences among different areas, and the penalty function method is employed to handle the constraint conditions. Subsequently, the problem is solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm. Instead of seeking a single optimal solution, this study focuses on finding as many mutually non-dominated solutions as possible for decision-makers to choose from. The effectiveness of the proposed algorithm is validated through experimental case studies. The results demonstrate that the method can provide reliable layout schemes that can be applied in practical decision-making processes.",
keywords = "MOPSO, construction site layout, multiobjective optimization",
author = "Xiaowen Li and Zhenpeng Zhang and Yelin Ma and Yonghui Yao and Yi Hao and Runqi Chai",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 China Automation Congress, CAC 2023 ; Conference date: 17-11-2023 Through 19-11-2023",
year = "2023",
doi = "10.1109/CAC59555.2023.10450445",
language = "English",
series = "Proceedings - 2023 China Automation Congress, CAC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3405--3410",
booktitle = "Proceedings - 2023 China Automation Congress, CAC 2023",
address = "United States",
}