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Growing Science » International Journal of Industrial Engineering Computations » Variable neighborhood search algorithm for the green vehicle routing problem

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International Journal of Industrial Engineering Computations
ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 9 Issue 2 pp. 195-204, 2018

Variable neighborhood search algorithm for the green vehicle routing problem Pages 195-204 PDF Download PDF

Authors: Mannoubia Affi, Houda Derbel, Bassem Jarboui

📋 Author Affiliations:
Mannoubia Affi1, Houda Derbel2, Bassem Jarboui ORCID 1
1 MODILS, FSEGS, Route de l’aéroport km 4, Sfax, 3018, Tunisia, N/A
2 Emirates College of Technology, Abu Dhabi, United Arab Emirates
doi 10.5267/j.ijiec.2017.6.004
34 Source: Scopus
Crossref 14 Source: CrossRef

🔑 Keywords: Green vehicle routing problem, Refueling stations, Variable neighborhood search, Heuristics

Abstract: This article discusses the ecological vehicle routing problem with a stop at a refueling station titled Green-Vehicle Routing Problem. In this problem, the refueling stations and the limit of fuel tank capacity are considered for the construction of a tour. We propose a variable neighborhood search to solve the problem. We tested and compared the performance of our algorithm intensively on datasets existing in the literature.

How to cite this paper
APA: Affi, M., Derbel, H & Jarboui, B. (2018). Variable neighborhood search algorithm for the green vehicle routing problem. International Journal of Industrial Engineering Computations, 9(2), 195-204.
Chicago/Turabian: Affi, M., Derbel, H & Jarboui, B. 2018. "Variable neighborhood search algorithm for the green vehicle routing problem." International Journal of Industrial Engineering Computations 9, no. 2 (2018): 195-204.
AMA: Affi, M., Derbel, H & Jarboui, B. Variable neighborhood search algorithm for the green vehicle routing problem. International Journal of Industrial Engineering Computations. 2018;9(2):195-204.

References
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Mendoza, J. E., & Villegas, J. G. (2013). A multi-space sampling heuristic for the vehicle routing problem with stochastic demands. Optimization Letters, 7(7), 1-14.
Montoya, A., Guéret, C., Mendoza, J. E., & Villegas, J. G. (2016). A multi-space sampling heuristic for the green vehicle routing problem. Transportation Research Part C: Emerging Technologies, 70, 113-128.
Schneider, M., Stenger, A., & Goeke, D. (2014). The electric vehicle-routing problem with time windows and recharging stations. Transportation Science, 48(4), 500-520.
Schneider, M., Stenger, A., & Hof, J. (2015). An adaptive VNS algorithm for vehicle routing problems with intermediate stops. OR Spectrum, 37(2), 353.
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📚 Journal: International Journal of Industrial Engineering Computations | 📅 Year: 2018 | 📖 Volume: 9 | 📄 Issue: 2 | 👁️ Views: 3600 | 📊 Crossref: 14

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