An Improved population-based Simulated Annealing algorithm for solving a Green Vehicle Routing Problem-Reference-Cited by-同舟云学术

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An Improved population-based Simulated Annealing algorithm for solving a Green Vehicle Routing Problem

Published:2024-05-02 Issue: Volume:18 Page:1-6
ISSN:
Container-title:2024 IEEE 15th International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA)
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Author:

Amira Abir¹,Guedria Najeh Ben²,Helali Ali³

Affiliation:

1. University of Sousse Higher Institute of Industrial Management of Sfax, University of Sfax,Laboratory of Mechanics of Sousse,Tunisia

2. University El Manar,Laboratory of Mechanics of Sousse (LMS), Preparatory Institute for Engineering Studies of El-Manar, Tunisia,Tunisia

3. University of Sousse,Laboratory of Mechanics of Sousse (LMS), Higher Institute of Transportation and Logistics of Sousse,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10571382/10571371/10571490.pdf?arnumber=10571490

Reference17 articles.

1. A Hybrid Genetic Algorithm for Multi-Trip Green Capacitated Arc Routing Problem in the Scope of Urban Services

2. The Truck Dispatching Problem

3. The impact of path selection on GHG emissions in city logistics

4. The vehicle routing problem: An overview of exact and approximate algorithms

5. Time-dependent vehicle routing problem with time windows of city logistics with a congestion avoidance approach

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