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An Efficient Algorithm for the Fast Delivery Problem

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conference contribution
posted on 2019-06-10, 14:14 authored by Iago A. Carvalho, Thomas Erlebach, Kleitos Papadopoulos
We study a problem where k autonomous mobile agents are initially located on distinct nodes of a weighted graph (with n nodes and m edges). Each autonomous mobile agent has a predefined velocity and is only allowed to move along the edges of the graph. We are interested in delivering a package, initially positioned in a source node s, to a destination node y. The delivery is achieved by the collective effort of the autonomous mobile agents, which can carry and exchange the package among them. The objective is to compute a delivery schedule that minimizes the delivery time of the package. In this paper, we propose an O(kn log(kn) + km) time algorithm for this problem. This improves the previous state-of-the-art O(k 2m + kn2 + APSP) time algorithm for this problem, where APSP stands for the running-time of an algorithm for the All-Pairs Shortest Paths problem.

Funding

Iago A. Carvalho was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)- Finance Code 001.

History

Citation

Lecture Notes in Computer Science, 2019, International Symposium on Fundamentals of Computation Theory FCT 2019: Fundamentals of Computation Theory pp 171-184

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Informatics

Source

22nd International Symposium on Fundamentals of Computation Theory (FCT 2019), Copenhagen, Denmark

Version

  • AM (Accepted Manuscript)

Published in

Lecture Notes in Computer Science

Publisher

Springer Verlag (Germany)

issn

0302-9743

Acceptance date

2019-05-17

Copyright date

2019

Available date

2019-07-10

Notes

The file associated with this record is under embargo until publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Temporal coverage: start date

2019-08-11

Temporal coverage: end date

2019-08-14

Language

en

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