University of Hertfordshire

A simulated annealing algorithm for routing problems with fuzzy constrains

Research output: Contribution to journalArticlepeer-review

Standard

A simulated annealing algorithm for routing problems with fuzzy constrains. / Davari, Soheil; Zarandi, Fazel; Hossein, Mohammed; Hemmati, Ahmed ; Turksen, I. Burhan.

In: Journal of Intelligent & Fuzzy Systems, Vol. 26, No. 6, 01.01.2014, p. 2649-2660.

Research output: Contribution to journalArticlepeer-review

Harvard

Davari, S, Zarandi, F, Hossein, M, Hemmati, A & Turksen, IB 2014, 'A simulated annealing algorithm for routing problems with fuzzy constrains', Journal of Intelligent & Fuzzy Systems, vol. 26, no. 6, pp. 2649-2660. https://doi.org/10.3233/IFS-130935

APA

Davari, S., Zarandi, F., Hossein, M., Hemmati, A., & Turksen, I. B. (2014). A simulated annealing algorithm for routing problems with fuzzy constrains. Journal of Intelligent & Fuzzy Systems, 26(6), 2649-2660. https://doi.org/10.3233/IFS-130935

Vancouver

Author

Davari, Soheil ; Zarandi, Fazel ; Hossein, Mohammed ; Hemmati, Ahmed ; Turksen, I. Burhan. / A simulated annealing algorithm for routing problems with fuzzy constrains. In: Journal of Intelligent & Fuzzy Systems. 2014 ; Vol. 26, No. 6. pp. 2649-2660.

Bibtex

@article{11818a5755754fc680c1c334683b038a,
title = "A simulated annealing algorithm for routing problems with fuzzy constrains",
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.",
keywords = "location-routing problem (LRP), uncertainty, fuzzy logic, simulation, simulated annealing, credibility theory",
author = "Soheil Davari and Fazel Zarandi and Mohammed Hossein and Ahmed Hemmati and Turksen, {I. Burhan}",
note = "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.",
year = "2014",
month = jan,
day = "1",
doi = "10.3233/IFS-130935",
language = "English",
volume = "26",
pages = "2649--2660",
journal = "Journal of Intelligent & Fuzzy Systems",
issn = "1064-1246",
publisher = "IOS Press",
number = "6",

}

RIS

TY - JOUR

T1 - A simulated annealing algorithm for routing problems with fuzzy constrains

AU - Davari, Soheil

AU - Zarandi, Fazel

AU - Hossein, Mohammed

AU - Hemmati, Ahmed

AU - Turksen, I. Burhan

N1 - 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.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - location-routing problem (LRP)

KW - uncertainty

KW - fuzzy logic

KW - simulation

KW - simulated annealing

KW - credibility theory

U2 - 10.3233/IFS-130935

DO - 10.3233/IFS-130935

M3 - Article

VL - 26

SP - 2649

EP - 2660

JO - Journal of Intelligent & Fuzzy Systems

JF - Journal of Intelligent & Fuzzy Systems

SN - 1064-1246

IS - 6

ER -