Multi-objective firefly optimization algorithm for construction site layout planning

Iranian Journal of Optimization

دوره 14، شماره 4، اسفند 2022، صفحه 245-260   

نوع مقاله: Research Paper

نویسندگان

Abolfazl Ghadiri؛ Davood Sedaghat Shayegan^* ؛ Aliasghar Amirkardoust

Department of civil engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran

چکیده

Safety importance on construction site layout plan is an essential requirement to improve construction project management. In previous studies the safety objective function is considered without risk factors analysis. Metaheuristics are widely used to solve construction site layout problems (CSLP). Firefly Algorithm (FA) is employed as 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) connecting temporary facilities by considering total cost reduction. A case study is presented to find out accuracy of the proposed model. Finally, the performance of two metaheuristic algorithms called Firefly Algorithm (FA) and Ant Colony Optimization (ACO) are compared in terms of their effectiveness in resolving a practical construction site layout problem. Results show that the FA performs better than the ACO Algorithm.

کلیدواژه‌ها

Construction site layout planning؛ Firefly algorithm؛ multi-objective؛ Optimization model؛ metaheuristic