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Title:Uncertainty modeling and stability assessment of minimum spanning trees in network design
Authors:ID Hosseini, Ahmad (Author)
Files:URL https://www.mdpi.com/2227-7390/12/23/3812
 
.pdf mathematics-12-03812.pdf (1,10 MB)
MD5: 72BD24BB35FF71DCA84B20F043B40306
 
URL https://www.mdpi.com/2227-7390/12/23/3812/pdf
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:The Minimum Spanning Tree (MST) problem in networks focuses on finding efficient routes, with applications in transportation, logistics, telecommunications, and more. However, catastrophes can make these networks uncertain, requiring robust computational models for decision-making. This paper introduces an uncertainty theory-based model to analyze the stability of MSTs in uncertain networks. By incorporating reliability and risk variables, we assess the robustness of uncertain MSTs (UMSTs) and address the challenge of computing link tolerances, which define the range within which network links can vary without compromising MST optimality. This study proposes computational formulations to systematically calculate these tolerances, offering a more efficient alternative to traditional re-optimization methods.
Keywords:operations research, transportation, sensitivity analysis, uncertainty, reliability
Publication status:Published
Publication version:Version of Record
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. 1-17
Numbering:Vol. 12, issue 23, [article no.] 3812
PID:20.500.12556/RUNG-9516 New window
COBISS.SI-ID:217393411 New window
UDC:51
ISSN on article:2227-7390
eISSN:2227-7390
DOI:10.3390/math12233812 New window
NUK URN:URN:SI:UNG:REP:CZJCSELL
Publication date in RUNG:03.12.2024
Views:78
Downloads:0
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Record is a part of a journal

Title:Mathematics
Shortened title:Mathematics
Publisher:MDPI AG
ISSN:2227-7390
COBISS.SI-ID:523267865 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0103
Name:Tehnologije znanja

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:02.12.2024

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