Multi-objective firefly optimization algorithm for construction site layout planning
محورهای موضوعی : Meta-heurestics
Abolfazl Ghadiri
1
,
Davood Sedaghat Shayegan
2
,
Ali Asghar Amirkardoust
3
1 - Department of civil engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
2 - Department of Civil Engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
3 - Department of civil engineering, Roudehen Branch, Islamic Azad University, Tehran, Iran
کلید واژه: Firefly Algorithm, Multi-objective, Metaheuristic, Optimization model, Construction site layout planning,
چکیده مقاله :
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.
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.
