Empirical-type simulated annealing for solving the capacitated vehicle routing problem-Reference-Cited by-同舟云学术

Empirical-type simulated annealing for solving the capacitated vehicle routing problem

Published:2019-08-14 Issue:3 Volume:32 Page:437-452
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Rabbouch Bochra¹²,Saâdaoui Foued²³^ORCID,Mraihi Rafaa⁴

Affiliation:

1. Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunis, Tunisia

2. Laboratoire d’Algèbre, Théorie de Nombres et Analyse Non-linéaire, Faculté des Sciences, Université de Monastir, Monastir, Tunisia

3. Department of Statistics, Faculty of Sciences, King Abdulaziz University, Jeddah, Saudi Arabia

4. Ecole Supérieure de Commerce de Tunis, Campus Universitaire de La Manouba, Université de Manouba, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2019.1652356

Reference31 articles.

1. Augerat, P., Belenguer, J., Benavent, E., Corbern, A., Naddef, D. & Rinaldi, G. (1995). Computational results with a branch and cut code for the capacitated vehicle routing problem (Research Report 949-M). Grenoble, France: Universite Joseph Fourier.

2. A genetic algorithm for the vehicle routing problem

3. Vehicle Routing Problem with Cross Docking: A Simulated Annealing Approach

4. Improvement heuristics for the Vehicle Routing Problem based on simulated annealing

5. Hybrid discrete particle swarm optimization algorithm for capacitated vehicle routing problem

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