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Bicriterion Shortest Paths in Stochastic Time-Dependent Networks

  • Lars Relund Nielsen
  • Daniele Pretolani
  • Kim Allan Andersen
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 618)

Abstract

In recent years there has been a growing interest in using stochastic time-dependent (STD) networks as a modelling tool for a number of applications within such areas as transportation and telecommunications. It is known that an optimal routing policy does not necessarily correspond to a path, but rather to a time-adaptive strategy. In some applications, however, it makes good sense to require that the routing policy should correspond to a loopless path in the network, that is, the time-adaptive aspect disappears and a priori route choice is considered.

In this paper we consider bicriterion a priori route choice in STD networks, i.e. the problem of finding the set of efficient paths. Both expectation and min—max criteria are considered and a solution method based on the two-phase method is devised. Experimental results reveal that the full set of efficient solutions can be determined on rather large test instances, which is in contrast to the time-adaptive case.

Keywords

Stochastic time-dependent networks Bicriterion shortest path Two-phase method Computational analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Lars Relund Nielsen
    • 1
  • Daniele Pretolani
    • 2
  • Kim Allan Andersen
    • 3
  1. 1.Department of Genetics and BiotechnologyResearch Unit of Statistics and Decision Analysis, University of AarhusTjeleDenmark
  2. 2.Department of Sciences and Methods of EngineeringUniversity of Modena and Reggio EmiliaReggioItaly
  3. 3.Department of Business StudiesUniversity of AarhusAarhus VDenmark

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