Details

Autor(en) / Beteiligte

• Zarandi, M. H. F.
• Kalhori, M. R. N.

Titel

An interval type-2 fuzzy model for Vehicle Routing Problems in supply chains

Ist Teil von

• 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2012

Quelle

IEEE Xplore

Beschreibungen/Notizen

• 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.