Title of article :
Hybrid Genetic for the Single-Source Capacitated Multi-Facility Weber Problem
Author/Authors :
Jahadi, S Department of Industrial Engineering - Urmia University of Technology - Urmia, Iran , Solimanpur, M Department of Industrial Engineering - Urmia University - Urmia, Iran
Abstract :
In this paper, we investigate the Single-Source Capacitated Multi-Facility Weber Problem. The aim is to locate several new facilities among existing customers and simultaneously allocate customers to the facilities. A Genetic Algorithm is proposed for solving the problem, in which a local search method is embedded. The proposed Genetic Algorithm is tested on existing data sets to evaluate its robustness over available methods in the literature.
Keywords :
Weber Problem , Location-allocation , Metaheuristic , Local search , Genetic Algorithm
Journal title :
International Journal of Industrial Mathematics(IJIM)
