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Scheduling problems in transportation networks of line topology

*Corresponding author for this work
  • University of Liverpool
    ,
  • Ben-Gurion University of the Negev
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

In this paper we consider online scheduling problems for linear topology under various objective functions: minimizing the maximum completion time, minimizing the largest delay, and minimizing the sum of completion times. We give optimal solutions for uni-directional version of the problem for each of the objectives and show that for the two-directional versions of each problem, no online algorithm can deterministically achieve the optimal solution for any of the considered objective functions. We also propose 2-approximation on-line algorithms for the MinMakespan and the MinSum minimization objectives. We also prove that no online algorithm can deterministically achieve the optimal solution for any of the considered objective functions for the weighted case of uni-directional scenarios.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 777-799 (23 pages)

Journal (Volume, Issue Number)

Optimization Letters (Volume 8, Issue 2)

Publication milestones

  • Published - 02/2014

Publication status

Published - 02/2014

ISSN

1862-4472

Publication IDs

  • Scopus: 84893765446

Publication metrics

Metrics

SciVal
citations
7
Fractional count
1
Fractional count
0.25
Fractional count
3
Fractional count
0.75
Fractional count
1
Fractional count
1
Scopus
citations
SciVal
FWCI
0.76
SciVal
Author count
4
SciVal
Paper percentile
60

PlumX, opens in new tab

Citation count
9
Captures
3

Funding Details

Acknowledgments We thank anonymous reviewers whose comments significantly improved the presentation of the paper. Work on this paper was partially supported by the Engineering and Physical Sciences Research Council (Grant Numbers EP/G023018/1, EP/H018816/1], US Air Force European Office of Aerospace Research and Development, grant FA8655-09-1-3016, Deutsche Telecom, France Telecom, European project FLAVIA and Israeli Ministry of Industry, Trade and Labor (consortium CORNET).
FundersFunding numbers
Deutsche Telecom
-
US Air Force European Office of Aerospace Research and Development
FA8655-09-1-3016
EPSRC
EP/H018816/1, EP/G023018/1
MOITAL
-