Using regression models to understand the impact of route-length variability in practical vehicle routing

DOI10.1007/S11590-022-01883-9OpenAlexW4280598507MaRDI QIDQ2679006

Edward A. Wasil, Debdatta Sinha Roy, Adriano Masone, Bruce L. Golden

Publication date: 18 January 2023

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-022-01883-9

zbMATH Keywords

regression modelscapacitated vehicle routing problemoperating and delivery costsroute-length variability

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Combinatorial optimization (90C27)

Related Items (1)

An improved model for estimating optimal VRP solution values

Uses Software

• LKH

Cites Work

• Unnamed Item
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• Interval estimation of a global optimum for large combinatorial problems
• Models to estimate average route lengths in different geographical environments
• Perturbation: An Efficient Technique for the Solution of Very Large Instances of the Euclidean TSP
• Random tours in the traveling salesman problem: Analysis and application

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