A simulated annealing algorithm for routing problems with fuzzy constrains

Mohammad Hossein Fazel Zarandi, Ahmad Hemmati, Soheil Davari, Burhan Turksen

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)


This paper puts forward a location-routing problem with fuzzy demands (LRPFD). A fuzzy chance constrained programming (CCP) model is presented and a simulation-embedded simulated annealing (SA) algorithm is proposed to solve it. Moreover, an initialization heuristic is presented which is based on the well-known fuzzy c-means clustering algorithm. Numerical examples clearly show the effectiveness of the proposed solution procedure. In addition, the sensitivity analysis of the objective function based on the dispatcher preference index is presented.
Original languageUndefined/Unknown
Pages (from-to)2649-2660
Number of pages12
JournalJournal of Intelligent and Fuzzy Systems
Issue number6
Publication statusPublished - 2014

Bibliographical note

cited By 6

Cite this