شماره ركورد كنفرانس :
4191
عنوان مقاله :
Multi-Objective Uncapacitated Hub Location Problem with Considering Type of Vehicles
پديدآورندگان :
Fallahpour Baei Ali a.fallah18@gmail.com Department of Industrial Engineering Management Systems, Amirkabir University of Technology, Tehran, Iran , Khaki Saeed Department of Industrial Engineering Management Systems, Amirkabir University of Technology, Tehran, Iran , Davoudpour Hamid Department of Industrial Engineering Management Systems, Amirkabir University of Technology, Tehran, Iran
كليدواژه :
Hub location , allocation , Multi , objective , Mode , Hybrid , PSO , Genetic algorithms
عنوان كنفرانس :
دوازدهمين كنفرانس بين المللي مهندسي صنايع
چكيده فارسي :
Hub location problems are widely studied in the area of location theory, where they involve locating the hub facilities and designing the hub networks. Previous studies in this area have not considered time as an objective as well as they assumed just one type of vehicles. In this study, a new model has been proposed with considering two objective functions that include both time constraints and mode for transporting goods. The hybrid PSO and Genetic algorithm method that is one of the substantially powerful solving methods is used for solving the model. Finally, a numerical example based on AP dataset is provided to illustrate the use of this model.
