Shahebrahimi, Seyedeh Sima, Lorak, Alireza, Sedaghat Shayegan, Davood, Amir Kardoust, Ali Asghar. (1405). Optimization of construction site layout planning with combination of metaheuristic algorithms. هنرهای کاربردی, 17(4), 75-86. doi: 10.22075/ijnaa.2024.33972.5070
Seyedeh Sima Shahebrahimi; Alireza Lorak; Davood Sedaghat Shayegan; Ali Asghar Amir Kardoust. "Optimization of construction site layout planning with combination of metaheuristic algorithms". هنرهای کاربردی, 17, 4, 1405, 75-86. doi: 10.22075/ijnaa.2024.33972.5070
Shahebrahimi, Seyedeh Sima, Lorak, Alireza, Sedaghat Shayegan, Davood, Amir Kardoust, Ali Asghar. (1405). 'Optimization of construction site layout planning with combination of metaheuristic algorithms', هنرهای کاربردی, 17(4), pp. 75-86. doi: 10.22075/ijnaa.2024.33972.5070
Shahebrahimi, Seyedeh Sima, Lorak, Alireza, Sedaghat Shayegan, Davood, Amir Kardoust, Ali Asghar. Optimization of construction site layout planning with combination of metaheuristic algorithms. هنرهای کاربردی, 1405; 17(4): 75-86. doi: 10.22075/ijnaa.2024.33972.5070

Optimization of construction site layout planning with combination of metaheuristic algorithms

International Journal of Nonlinear Analysis and Applications
مقاله 7، دوره 17، شماره 4، تیر 2026، صفحه 75-86    اصل مقاله (1017.83 K)
نوع مقاله: Review articles
شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.33972.5070
نویسندگان
Seyedeh Sima Shahebrahimi1؛ Alireza Lorak* 2؛ Davood Sedaghat Shayegan1؛ Ali Asghar Amir Kardoust1
1Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
2Department of Civil Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
چکیده
Safety is important in construction site layout plans, and it is an essential requirement to improve construction project management. Previous studies considered the safety objective function without risk factor analysis. Metaheuristics are widely used to solve construction site layout problems (CSLP). Invasive Weed Optimization (IWO) is employed as a multi-objective optimization method to design and optimize two safety objective functions and total cost. Safety objective functions (due to potential risks arising from hazardous sources and interaction flows) connect temporary facilities by considering total cost reduction. A case study is presented to find out the accuracy of the proposed model. Finally, the performance of four metaheuristic algorithms called Invasive Weed Optimization (IWO), Firefly Algorithm (FA) and Ant Colony Optimization (ACO), previously studied by researchers, is compared in terms of their effectiveness in resolving a practical construction site layout problem. To take advantage of a more optimal response, a combination of firefly and weed algorithms was also investigated. Results show that the combination of FA and IWO algorithms works better than ACO, FA and IWO algorithms separately.
کلیدواژه‌ها
invasive weed optimization algorithm؛ firefly algorithm؛ construction site layout planning (CSLP)؛ multi-objective optimization model
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