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Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem
European Conference on Artificial Intelligence, 2019Learning how to automatically solve optimization problems has the potential to provide the next big leap in optimization technology. The performance of automatically learned heuristics on routing problems has been steadily improving in recent years, but ...
André Hottung, Kevin Tierney
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Capacitated vehicle routing problem
2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA), 2017Vehicle routing problem (VRP) involves minimizing total route length while visiting each customer location exactly once. In capacitated vehicle routing problem the nodal demand of the vehicle need to be satisfied. For large scale problem use of clustering approach can improve the solution.
Tejal Carwalo +2 more
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2009
Vehicle routing problem (VRP) is concerned with finding efficient routes, beginning and ending at a central depot, for a fleet of vehicles to serve a number of customers.
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Vehicle routing problem (VRP) is concerned with finding efficient routes, beginning and ending at a central depot, for a fleet of vehicles to serve a number of customers.
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2017
In this dissertation we consider variants of the vehicle routing problem applied to two problem areas. First, we consider the problem of scheduling deliveries from a central depot to clients in a metric space using a single delivery vehicle. Although this problem involves only a single vehicle rather than a fleet, it is amenable to analysis from both a
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In this dissertation we consider variants of the vehicle routing problem applied to two problem areas. First, we consider the problem of scheduling deliveries from a central depot to clients in a metric space using a single delivery vehicle. Although this problem involves only a single vehicle rather than a fleet, it is amenable to analysis from both a
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Energy consumption estimation integrated into the Electric Vehicle Routing Problem
Transportation Research Part D: Transport and Environment, 2019When planning routes for fleets of electric commercial vehicles, it is necessary to precisely predict the energy required to drive and plan for charging whenever needed, in order to manage their driving range limitations.
R. Basso +4 more
semanticscholar +1 more source
Swarm and Evolutionary Computation, 2020
This article addresses a Periodic Vehicle Routing Problem with Time Window and Service Choice problem. This problem is basically a combination of existing Periodic Vehicle Routing Problem with Time Window and Periodic Vehicle Routing Problem with Service
Yuan Wang +5 more
semanticscholar +1 more source
This article addresses a Periodic Vehicle Routing Problem with Time Window and Service Choice problem. This problem is basically a combination of existing Periodic Vehicle Routing Problem with Time Window and Periodic Vehicle Routing Problem with Service
Yuan Wang +5 more
semanticscholar +1 more source
ACM Computing Surveys, 2014
The Vehicle Routing Problem (VRP) is a well-known research line in the optimization research community. Its different basic variants have been widely explored in the literature. Even though it has been studied for years, the research around it is still very active.
Jose Caceres-Cruz +4 more
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The Vehicle Routing Problem (VRP) is a well-known research line in the optimization research community. Its different basic variants have been widely explored in the literature. Even though it has been studied for years, the research around it is still very active.
Jose Caceres-Cruz +4 more
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Information Sciences, 2019
In this paper, we present a multi-objective vehicle routing problem with flexible time windows (MOVRPFlexTW). In this problem, a fleet of vehicles can service a set of customers earlier and later than the required time with a given tolerance.
Huizhen Zhang +4 more
semanticscholar +1 more source
In this paper, we present a multi-objective vehicle routing problem with flexible time windows (MOVRPFlexTW). In this problem, a fleet of vehicles can service a set of customers earlier and later than the required time with a given tolerance.
Huizhen Zhang +4 more
semanticscholar +1 more source
Deep reinforcement learning for the dynamic and uncertain vehicle routing problem
Applied intelligence (Boston), 2022Weixuan Pan, Shi Qiang Liu
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Integrated vehicle routing problems
Computers & Operations Research, 2015no ...
Bektas, T., Laporte, G., VIGO, DANIELE
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