University of Hertfordshire

A simulated annealing algorithm for routing problems with fuzzy constrains

Research output: Contribution to journalArticlepeer-review

  • Soheil Davari
  • Fazel Zarandi
  • Mohammed Hossein
  • Ahmed Hemmati
  • I. Burhan Turksen
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Original languageEnglish
Pages (from-to)2649-2660
JournalJournal of Intelligent & Fuzzy Systems
Publication statusPublished - 1 Jan 2014


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.


Fazel Zarandi, et al, 'A simulated annealing algorithm for routing problems with fuzzy constrains', Journal of Intelligent & Fuzzy Systems, Vol. 26 (6): 2649-2660, 2014, doi: 10.3233/IFS-130935.

ID: 10203291