Integral flow decomposition with minimum longest path length

•The shortest integral flow decomposition problem is NP-hard in the strong sense.•Two approximation algorithms LPE and BFP are proposed for the problem.•BFP has lower computational complexity and better worst-case performance than LPE.•For chain network flows the worst-case performance ratio of BFP...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:European journal of operational research Ročník 247; číslo 2; s. 414 - 420
Hlavní autori: Pienkosz, Krzysztof, Koltys, Kamil
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 01.12.2015
Elsevier Sequoia S.A
Predmet:
Algorithms
Approximation
Approximation algorithms
Flow decomposition
Integral flow
Network flow problem
Networks
NP-hard problem
Propagation
Studies
Networks
Approximation algorithms
NP-hard problem
Integral flow
Flow decomposition
ISSN:0377-2217, 1872-6860
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:•The shortest integral flow decomposition problem is NP-hard in the strong sense.•Two approximation algorithms LPE and BFP are proposed for the problem.•BFP has lower computational complexity and better worst-case performance than LPE.•For chain network flows the worst-case performance ratio of BFP is less than 2. This paper concerns the problem of decomposing a network flow into an integral path flow such that the length of the longest path is minimized. It is shown that this problem is NP-hard in the strong sense. Two approximation algorithms are proposed for the problem: the longest path elimination (LPE) algorithm and the balanced flow propagation (BFP) algorithm. We analyze the properties of both algorithms and present the results of experimental studies examining their performance and efficiency.
Bibliografia:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2015.06.012