Optimization of construction site layout planning with combination of metaheuristic algorithms
نویسندگان
1 Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
2 Department of Civil Engineering, Karaj Branch, Islamic Azad University, Karaj, Iran
3 Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
4 Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
doi
10.22075/ijnaa.2024.33972.5070چکیده
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.
