Corpus ID: 18799690

# Fundamental Performance Limits for Multi-Stage Vehicle Routing Problems

@inproceedings{Waisanen2007FundamentalPL,
title={Fundamental Performance Limits for Multi-Stage Vehicle Routing Problems},
author={Holly A. Waisanen and Devavrat Shah and Munther A. Dahleh},
year={2007}
}
• Published 2007
• Computer Science
In the stochastic and dynamic multi-stage vehicle routing problem, a set of vehicles collectively transports and services demands which require service at multiple spatially separated locations. Arrival times and service locations of individual demands are not known until the demand’s arrival, and vehicles are assumed to have infinite capacity and to travel with bounded velocity. The objective is to define real-time control policies for the vehicles to service the demands such that average… Expand
9 Citations
Lower bounds for multi-stage vehicle routing
• Engineering, Computer Science
• 2007 46th IEEE Conference on Decision and Control
• 2007
Borders on average delay in the context of the dynamic pickup and delivery problem (DPDP), where a collection of vehicles are responsible for picking up and delivering requests that arrive at unknown times and locations in a certain geographic area are developed. Expand
Optimizing for Transfers in a Multi-vehicle Collection and Delivery Problem
• Computer Science
• DARS
• 2012
This paper investigates this Collection and Delivery Problem with Transfers (CDP-T), discusses its theoretical underpinnings, and introduces a two-approximate polynomial time algorithm to minimize total distance travelled. Expand
A Dynamic Pickup and Delivery Problem in Mobile Networks Under Information Constraints
• Engineering, Computer Science
• IEEE Transactions on Automatic Control
• 2008
It is proved that the optimal average delay scaling can be reduced when message destination information is available to the centralized controller in addition to the message source information. Expand
Dynamic multi-agent team forming: Asymptotic results on throughput versus delay
• Engineering, Computer Science
• 2008 American Control Conference
• 2008
This paper develops a general framework in which problems in which tasks arrive in an environment sequentially over time are described, and proposes a set of scaling laws for studying the relationship between the number of robots, the expected task delay, and the task arrival rate. Expand
The pickup and multiple delivery problem
A new variable neighbourhood descent with memory hyper-heuristic is presented and shown to be an effective technique for solving instances of the real-world problem and the value of time and timely information for planning pickup and delivery requests is investigated. Expand
Multi-Agent Pickup And Delivery Planning With Transfers
This thesis introduces a novel approach to plan for multi-agent retrievals and deliveries with transfers, and develops an approximation algorithm, based on the construction of a minimum spanning tree, for retrieving a set of items and delivering them to a central location, with transfers only at pickup and dropoff points. Expand
Dynamic pickup and delivery problems
• Computer Science
• Eur. J. Oper. Res.
• 2010
This article surveys the subclass of problems called dynamic pickup and delivery problems, in which objects or people have to be collected and delivered in real-time, and discusses some general issues as well as solution strategies. Expand
Online pickup and delivery planning with transfers for mobile robots
• Computer Science, Engineering
• 2014 IEEE International Conference on Robotics and Automation (ICRA)
• 2014
An auction-based scheduling algorithm is introduced which plans to transfer items between robots to make deliveries more efficiently and is demonstrated through execution on robots, and the effect of transfers on large simulated problems is examined. Expand
Algorithmes pour les problèmes de tournées à la demande
Nous resolvons ce probleme grâce a une heuristique d’insertion and une technique de propagation de contraintes, which determine les caracteristiques des tournees. Expand

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