A multi-objective shortest path problem
Kazuyoshi Wakuta
Mathematical Methods of Operations Research, 2001, vol. 54, issue 3, 445-454
Abstract:
We study a multi-objective shortest path problem. We formulate a multi-objective Markov decision process model for the problem and solve it by the policy improvement procedure. We first show by counter-examples the differences between the multi-objective shortest path problem and the single-objective one. We next introduce “locally efficient policies” and present an algorithm for finding all efficient paths from all nodes to the destination. Moreover, as an application, we consider a shortest path problem with a constraint. Last, the algorithm is illustrated by a numerical example. Copyright Springer-Verlag Berlin Heidelberg 2001
Keywords: Key words: shortest path problem; multi-objective; policy improvement procedure (search for similar items in EconPapers)
Date: 2001
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s001860100169 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:mathme:v:54:y:2001:i:3:p:445-454
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s001860100169
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().