Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6157
Title: A simulated annealing algorithm for routing problems with fuzzy constrains
Authors: Zarandi, Mohammad Hossein Fazel
Hemmati, Ahmad
Davari, Soheil
Türkşen, İsmail Burhan
Keywords: Location-routing problem (LRP)
uncertainty
fuzzy logic
simulation
simulated annealing
credibility theory
Issue Date: 2014
Publisher: Ios Press
Abstract: 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.
URI: https://doi.org/10.3233/IFS-130935
https://hdl.handle.net/20.500.11851/6157
ISSN: 1064-1246
1875-8967
Appears in Collections:Endüstri Mühendisliği Bölümü / Department of Industrial Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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