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Routing and scheduling of vehicles and crews–the state of the art

L. Bodin
- 01 Jan 1983 - 
- Vol. 10, Iss: 2, pp 69-211
About: 
This article is published in Computers & Operations Research.The article was published on 1983-01-01 and is currently open access. It has received 1046 citations till now. The article focuses on the topics: Static routing & Policy-based routing.

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One-to-Many Distribution with Transshipments: An Analytic Model

James F. Campbell
- 01 Nov 1993 - 
TL;DR: This paper presents and optimizes two cases of an approximate analytic model of distribution from a single origin to many destinations via transshipment terminals, focusing on situations in which local vehicles operate on multi-stop tours.
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Study on the vehicle routing problem considering congestion and emission factors

Lan Zhu, +1 more
- 02 Oct 2019 - 
TL;DR: A time-dependent green vehicle routing problem (TD-GVRP) model with minimised total cost as the objective function which includes fuel consumption cost, and the measurement of fuel consumption is based on the Comprehensive Modal Emissions Model (CMEM).
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Neural networks for automated vehicle dispatching

Jean-Yves Potvin, +2 more
- 15 Apr 1992 - 
TL;DR: An alternative neural network model is proposed as a sub-symbolic and empirical alternative for modeling the decision process of expert dispatchers and preliminary results about the ability of the network to reproduce various decision rules are reported.
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A new algorithm for the directed Chinese postman problem

Yaxiong Lin, +1 more
- 01 Nov 1988 - 
TL;DR: An algorithm for the directed Chinese Postman Problem is presented, which can be applied directly to the original network and, compared with the existing algorithms, has a better computational complexity O ( kn 2 ) where k depends on the structure of the network.
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A hybrid adaptive large neighbourhood search for multi-depot open vehicle routing problems

Rahma Lahyani, +2 more
- 01 Mar 2019 - 
TL;DR: A hybrid adaptive large neighbourhood search algorithm to solve the MDOVRP coupled with improvement procedures yielding a hybrid metaheuristic is proposed, indicating that the proposed algorithm is very competitive compared with the state-of-the-art methods.