Lagrangian relaxation-based decomposition approaches for the capacitated arc routing problem in the state-space-time network
Author:
Affiliation:
1. School of Transportation, Southeast University, Jiangning District, Nanjing, China
2. Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jilin Province
Publisher
Informa UK Limited
Subject
Transportation
Link
https://www.tandfonline.com/doi/pdf/10.1080/19427867.2022.2148368
Reference41 articles.
1. A bi-objective transportation-location arc routing problem
2. Genetic Programming with Knowledge Transfer and Guided Search for Uncertain Capacitated Arc Routing Problem
3. Exact methods based on node-routing formulations for undirected arc-routing problems
4. Large-scale constrained clustering for rationalizing pickup and delivery operations
5. Improved lower bounds and exact algorithm for the capacitated arc routing problem
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