Distributed Multi-Depot Routing without Communications
Dawsen Hwang, Patrick Jaillet, Zhengyuan Zhou

TL;DR
This paper studies distributed multi-depot routing without communication, providing approximation and competitive ratios, and proposing partition schemes with sublinear performance bounds for specific depot configurations.
Contribution
It introduces a novel formulation of distributed routing without communication and offers new approximation schemes for certain depot arrangements.
Findings
Voronoi partition yields an approximation ratio of m
Sublinear ratios achieved for line and bounded-distance depot configurations
Offline and online problems are effectively equivalent in worst-case performance
Abstract
We consider and formulate a class of distributed multi-depot routing problems, where servers are to visit a set of requests, with the aim of minimizing the total distance travelled by all servers. These problems fall into two categories: distributed offline routing problems where all the requests that need to be visited are known from the start; distributed online routing problems where the requests come to be known incrementally. A critical and novel feature of our formulations is that communications are not allowed among the servers, hence posing an interesting and challenging question: what performance can be achieved in comparison to the best possible solution obtained from an omniscience planner with perfect communication capabilities? The worst-case (over all possible request-set instances) performance metrics are given by the approximation ratio (offline case) and the competitive…
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Taxonomy
TopicsOptimization and Search Problems · Vehicle Routing Optimization Methods · Facility Location and Emergency Management
