Mahmoud Dehghanzadeh Sahi - M. Sc. student, Department of Information technology management, , Islamic Azad University, E-campus, Iran.
Abbas Toloie Eshlaghy - professor, Industrial management department, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Mohamad Ali Afshar Kazemi - Associate Professor, Industrial management department,Tehran Markaz Branch, Islamic Azad University, Tehran, Iran.

Location of warehouses and routing of vehicles are two essential key points in order to distribute perishable products properly. Poor location-routing tasks may cause tremendous losses. In this paper, a bi-objective mixed integer mathematical programming is proposed to reduce the total cost of thesupply chain and to balance the workload of distribution centers, concurrently. A multi-objective evolutionary algorithm called Non-Dominated Genetic Algorithm-II (NSGA-II) is customized to generate set of non-dominated solutions on Pareto front of the problem. The performance of proposedalgorithm and an efficient exact multi-objective method, called ε-constraint, is compared on several benchmark instances using several performance measurements. The analysis reveals the efficacy and applicability of proposed method.

Location-Routing problem,Distribution of perishableproducts,NSGA-II ETM, ε -Constraint method