TY - GEN
T1 - Construction Site Layout Optimization Algorithm Based on MOPSO
AU - Li, Xiaowen
AU - Zhang, Zhenpeng
AU - Ma, Yelin
AU - Yao, Yonghui
AU - Hao, Yi
AU - Chai, Runqi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - MOPSO
KW - construction site layout
KW - multiobjective optimization
UR - http://www.scopus.com/inward/record.url?scp=85189284558&partnerID=8YFLogxK
U2 - 10.1109/CAC59555.2023.10450445
DO - 10.1109/CAC59555.2023.10450445
M3 - Conference contribution
AN - SCOPUS:85189284558
T3 - Proceedings - 2023 China Automation Congress, CAC 2023
SP - 3405
EP - 3410
BT - Proceedings - 2023 China Automation Congress, CAC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 China Automation Congress, CAC 2023
Y2 - 17 November 2023 through 19 November 2023
ER -