Title :
An interval type-2 fuzzy model for Vehicle Routing Problems in supply chains
Author :
Zarandi, M. H Fazel ; Kalhori, M. Rostam Niakan
Author_Institution :
Dept. of Ind. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
In Vehicle Routing Problems (VRPs) one tries to find the best route which begins and terminates at a unique center for a group of vehicles to service a number of customers. This paper presents a VRP in which parameters and continuous decision variables are assumed to be interval type-2 fuzzy sets. Since VRPs are NP-hard, the genetic algorithm (GA) is applied to solve the problem. Computational results are compared with type-1 fuzzy model. They show the efficiency of the proposed model and GA.
Keywords :
computational complexity; fuzzy set theory; genetic algorithms; supply chain management; transportation; GA; NP-hard problem; VRP; continuous decision variables; genetic algorithm; interval type-2 fuzzy model; interval type-2 fuzzy sets; supply chains; type-1 fuzzy model; vehicle routing problems; Biological cells; Fuzzy logic; Fuzzy sets; Mathematical model; Routing; Uncertainty; Vehicles; genetic algorithm; interval type-2 fuzzy sets; vehicle routing problem;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2012 Annual Meeting of the North American
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4673-2336-9
Electronic_ISBN :
pending
DOI :
10.1109/NAFIPS.2012.6290984
