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An optimal construction site layout planning (CSLP) can enhancing the services of the construction work to improve the work productivity and thus the costs of a project. The previous studies of CSLP centralized on the equalarea and static site layout planning, which is idealized but practical unequal area and dynamic planning studies are limited. In order to enhance the knowledge and practices of solving unequalarea and dynamic problems, the CSLP decisionmaking system using ant colony optimization (ACO) algorithms is proposed in the study. The feasibility and effectiveness of the proposed CSLP decisionmaking system were tested and verified by two projects. The results showed that the proposed CSLP decisionmaking system can select a good site layout, which reduced the project costs significantly by comparing with the original site layouts. CSLP decisionmaking system will assist the practitioners in the construction industry to deliver construction projects in a more efficient and effective manner, thus to reduce construction costs significantly.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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