Multi-Objective Invasive Weed Optimization &combination of Metaheuristic Algorithms forConstruction Site Layout Planning

Safety importance on construction site layout plan is an essential requirement to improveconstruction project management. In previous studies the safety objective function isconsidered without risk factors analysis. Metaheuristics are widely used to solveconstruction site layout problems (CSLP). Invasive Weed Optimization (IWO) isemployed as multi- objective optimization method to design and optimize two safetyobjective functions and total cost. Safety objective functions (due to potential risks arisingfrom hazardous sources and interaction flows) connecting temporary facilities byconsidering total cost reduction.A case study is presented to find out accuracy of theproposed model. Finally, the performance of four metaheuristic algorithms calledInvasive Weed Optimization (IWO),Firefly Algorithm (FA) and Ant ColonyOptimization (ACO) previously studied by researchers are compared in terms of theireffectiveness in resolving a practical construction site layout problem. In order to takeadvantage of a more optimal response, a combination of firefly and weed algorithm wasalso investigated. Results show that the combination of FA and IWO algorithms worksbetter than ACO, FA and IWO algorithms separately.

Multi-Objective Invasive Weed Optimization &combination of Metaheuristic Algorithms forConstruction Site Layout Planning Keywords:

Invasive Weed Optimization algorithm , Firefly algorithm , construction site layoutplanning (CSLP) , Multi-objective Optimization model