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A block recombination approach to solve green vehicle routing problem

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  • Tiwari, Anurag
  • Chang, Pei-Chann

Abstract

The vehicle routing problem (VRP) is one of the most important problem with many real world application in transportation and logistics area. Presently carbon dioxide emission is one of the major concerns for the researchers. Green vehicle routing problem (GVRP) is the extension of the vehicle routing problem. In GVRP we consider the minimum distance travelled by each vehicle from depot to distribution center as well as the total emitted carbon dioxide by the vehicle. In this paper, we consider the distance based approach to calculate the carbon dioxide emission. In addition, the truck load is considered as a factor for the carbon dioxide emission. We generate the different cluster for each city visited by different trucks and apply block recombination approach to solve the GVRP benchmark problem where each cluster represents as a block. To avoid the bias, we compare the experimental results with other well know evolutionary algorithms. Computational results show that the proposed methodology is very competitive and has the promising future.

Suggested Citation

  • Tiwari, Anurag & Chang, Pei-Chann, 2015. "A block recombination approach to solve green vehicle routing problem," International Journal of Production Economics, Elsevier, vol. 164(C), pages 379-387.
    • Handle: RePEc:eee:proeco:v:164:y:2015:i:c:p:379-387
    DOI: 10.1016/j.ijpe.2014.11.003
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    Cited by:

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    2. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    3. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    4. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    5. Suzuki, Yoshinori, 2016. "A dual-objective metaheuristic approach to solve practical pollution routing problem," International Journal of Production Economics, Elsevier, vol. 176(C), pages 143-153.
    6. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    7. Suzuki, Yoshinori & Lan, Bo, 2018. "Cutting fuel consumption of truckload carriers by using new enhanced refueling policies," International Journal of Production Economics, Elsevier, vol. 202(C), pages 69-80.
    8. Shoufeng Ji & Qi Sun, 2017. "Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
    9. Yu, Yang & Wu, Yuting & Wang, Junwei, 2019. "Bi-objective green ride-sharing problem: Model and exact method," International Journal of Production Economics, Elsevier, vol. 208(C), pages 472-482.
    10. Emna Marrekchi & Walid Besbes & Diala Dhouib & Emrah Demir, 2021. "A review of recent advances in the operations research literature on the green routing problem and its variants," Annals of Operations Research, Springer, vol. 304(1), pages 529-574, September.
    11. Gia-Shie Liu & Kuo-Ping Lin, 2020. "The Online Distribution System of Inventory-Routing Problem with Simultaneous Deliveries and Returns Concerning CO 2 Emission Cost," Mathematics, MDPI, vol. 8(6), pages 1-27, June.
    12. Chiang, Wen-Chyuan & Li, Yuyu & Shang, Jennifer & Urban, Timothy L., 2019. "Impact of drone delivery on sustainability and cost: Realizing the UAV potential through vehicle routing optimization," Applied Energy, Elsevier, vol. 242(C), pages 1164-1175.
    13. Che-Fu Hsueh, 2017. "A Vehicle Routing Problem with Consideration of Green Transportation," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 7(4), pages 89-97, December.
    14. Zhang, Shuai & Gajpal, Yuvraj & Appadoo, S.S. & Abdulkader, M.M.S., 2018. "Electric vehicle routing problem with recharging stations for minimizing energy consumption," International Journal of Production Economics, Elsevier, vol. 203(C), pages 404-413.

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