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Time-adaptive versus history-adaptive strategies for multicriterion routing in stochastic time-dependent networks

Author

Listed:
  • Pretolani, Daniele

    (Department of Sciences and Methods of Engineering)

  • Nielsen, Lars Relund

    (Department of Genetics and Biotechnology)

  • Andersen, Kim Allan

    (Department of Business Studies, Aarhus School of Business)

  • Ehrgott, Matthias

    (Department of Engineering Science)

Abstract

We compare two different models for multicriterion routing in stochastic time-dependent networks: the classic "time-adaptive'' route choice and the more flexible "history-adaptive'' route choice. We point out some interesting properties of the sets of efficient solutions ("strategies'') found under the two models. We also suggest possible directions for improving computational techniques.

Suggested Citation

  • Pretolani, Daniele & Nielsen, Lars Relund & Andersen, Kim Allan & Ehrgott, Matthias, 2008. "Time-adaptive versus history-adaptive strategies for multicriterion routing in stochastic time-dependent networks," CORAL Working Papers L-2008-05, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    • Handle: RePEc:hhb:aarbls:2008-005
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    File URL: http://research.asb.dk/fbspretrieve/2878/L_2008_05.PDF
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    References listed on IDEAS

    as
    1. Gao, Song & Chabini, Ismail, 2006. "Optimal routing policy problems in stochastic time-dependent networks," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 93-122, February.
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    Cited by:

    1. Kjeldsen, Karina Hjortshøj, 2008. "Classification of routing and scheduling problems in liner shipping," CORAL Working Papers L-2008-06, University of Aarhus, Aarhus School of Business, Department of Business Studies.

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    Keywords

    Multiple objective programming; shortest paths; stochastic;
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