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

Daniele Pretolani (), Lars Relund Nielsen (), Kim Allan Andersen () and Matthias Ehrgott ()
Additional contact information
Daniele Pretolani: Department of Sciences and Methods of Engineering, Postal: University of Modena and Reggio Emilia, Via Amendola 2, I-42100 Reggio Emilia, Italy
Lars Relund Nielsen: Department of Genetics and Biotechnology, Postal: University of Aarhus, P.O.Box 50, DK-8830 Tjele, Denmark
Kim Allan Andersen: Department of Business Studies, Aarhus School of Business, Postal: The Aarhus School of Business, Fuglesangs Allé 4, 8210 Aarhus V, Denmark, http://www.asb.dk/staff.aspx?pid=11033
Matthias Ehrgott: Department of Engineering Science, Postal: The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand

No L-2008-05, CORAL Working Papers from University of Aarhus, Aarhus School of Business, Department of Business Studies

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.

Keywords: Multiple objective programming; shortest paths; stochastic (search for similar items in EconPapers)
Pages: 19 pages
Date: 2008-08-26
New Economics Papers: this item is included in nep-cmp
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Citations: View citations in EconPapers (1)

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