Augmented Lagrangian relaxation approach for logistics vehicle routing problem with mixed backhauls and time windows-Reference-Cited by-同舟云学术

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Augmented Lagrangian relaxation approach for logistics vehicle routing problem with mixed backhauls and time windows

Published:2020-03 Issue: Volume:135 Page:101891
ISSN:1366-5545
Container-title:Transportation Research Part E: Logistics and Transportation Review
language:en
Short-container-title:Transportation Research Part E: Logistics and Transportation Review

Author:

Yang Senyan,Ning Lianju,Shang Pan,(Carol) Tong Lu

Funder

China Postdoctoral Science Foundation

Beijing Municipal Natural Science Foundation

National Natural Science foundation of China

Publisher

Elsevier BV

Subject

Transportation,Business and International Management,Civil and Structural Engineering

Reference52 articles.

1. A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain;Amiri;Transp. Res. Part E: Log. Transp. Rev.,2019

2. An iterative biased-randomized heuristic for the fleet size and mix vehicle-routing problem with backhauls;Belloso;Int. Trans. Operat. Res.,2019

3. An ant colony optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows;Belmecheri;IFAC Proc. Vol.,2009

4. Particle swarm optimization algorithm for a vehicle routing problem with heterogeneous fleet, mixed backhauls, and time windows;Belmecheri;J. Intell. Manuf.,2013

5. Quantum inspired algorithm for a VRP with heterogeneous fleet mixed backhauls and time windows;Berghida;Int. J. Appl. Metah. Comput. (IJAMC),2016

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