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Article history: Received December 10, 2013 Received in revised format 16 March 2014 Accepted April 29 2014 Available online May 14 2014 A crucial issue in humanitarian relief operations is vehicle routing because there are many difficulties in roads that people face when a disaster is occurred. In such circumstances, selecting more reliable routes could help rescue team act more efficacious. Therefore, we propose a mathematical model that maximizes the reliability of selected routes in disaster relief routing process using a multiple attribute decision making (MADM) technique. Furthermore, the proposed model minimizes the total cost that imposed to system. For this reason, the model is a multi-objective vehicle routing problem (VRP). The problem considered here is NP-hard and its objective is to find near optimal solutions, rather than optimal ones, using the nondominated sorting genetic algorithm. © 2014 Growing Science Ltd. All rights reserved.

Disaster relief routing by considering heterogeneous vehicles and reliability of routes using an MADM approach