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A Hybrid Metaheuristic Algorithm for the Green Vehicle Routing Problem in the Dynamic Environment

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  • Elhassania Messaoud

    (Logistics, Transport, and Road Safety Research Team, Hassania School of Public Works, Morocco)

  • Adiba El Bouzekri El Idrissi

    (Engineering Sciences Laboratory for Energy, National School of Applied Sciences, Eljadida, Morocco)

  • Ahmed Elhilali Alaoui

    (Euromed University, Fez, Morocco)

Abstract

The main goal of this research is to combine the dynamic vehicle routing problem (DVRP), in which new information is received along the day, and the green vehicle routing problem (GVRP), which determines the routes of vehicles to serve a set of customers, while minimizing the total amount of the greenhouse gas. In this study, the customers must be serviced at their locations by a set of vehicles in real time by minimizing the carbon dioxide CO2. For that, the authors present the technique employed to estimate the amount of CO2 emissions and integrate it into the proposed mathematic model. Then they develop the resolution approach based on ant colony optimization (ACO) algorithm and a large neighborhood search (LNS) algorithm. The effectiveness of this approach is tested on a set of the static and dynamic green problems instances.

Suggested Citation

  • Elhassania Messaoud & Adiba El Bouzekri El Idrissi & Ahmed Elhilali Alaoui, 2021. "A Hybrid Metaheuristic Algorithm for the Green Vehicle Routing Problem in the Dynamic Environment," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 12(4), pages 28-46, October.
    • Handle: RePEc:igg:jamc00:v:12:y:2021:i:4:p:28-46
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