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Multi-objective firefly optimization algorithm for construction site layout planning

2022/09/27 by Abolfazl Ghadiri, Ghadiri, Abolfazl, Davood Sedaghat Shayegan +3
Decision Sciences · Engineering · #Advanced Manufacturing and Logistics Optimization #BIM and Construction Integration #Construction site layout planning #Firefly Algorithm #Metaheuristic #Multi-objective #Optimization model #Resource-Constrained Project Scheduling

paper · doi:10.82521/ijo.2022.1018885

openalex publication_date 2022/09/27 · openalex created_date 2025/12/27 · openalex updated_date 2026/07/31

Abstract

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.

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