Exploiting Set-Based Structures to Accelerate Dynamic Programming Algorithms for the Elementary Shortest Path Problem with Resource Constraints
Troels Martin Range ()
Additional contact information
Troels Martin Range: Department of Business and Economics, Postal: University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark
No 17/2013, Discussion Papers on Economics from University of Southern Denmark, Department of Economics
Abstract:
In this paper we consider a label-setting dynamic-programming algorithm for the Elementary Shortest Path Problem with Resource Constraints (ESPPRC). We use a pseudo resource to guarantee that labels are permanent. We observe that storing the states based on the subset of nodes visited by the associated path can improve the performance of the algorithm significantly. To this end we use a variant of a prefix tree to store the states and show by computational experiments that the performance of the dynamic programming algorithm is improved significantly when the number of undominated states is large.
Keywords: Elementary shortest path problem; resource constraints; dynamic programming; prefix tree (search for similar items in EconPapers)
JEL-codes: C61 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2013-10-17
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.sdu.dk/-/media/files/om_sdu/institutte ... 2013/dpbe17_2013.pdf Full text (application/pdf)
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:hhs:sdueko:2013_017
Access Statistics for this paper
More papers in Discussion Papers on Economics from University of Southern Denmark, Department of Economics Department of Economics, University of Southern Denmark, Campusvej 55, DK-5230 Odense M, Denmark. Contact information at EDIRC.
Bibliographic data for series maintained by Astrid Holm Nielsen ().