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An approach to robust network design in telecommunications
- Source :
- RAIRO-Operations Research, RAIRO-Operations Research, EDP Sciences, 2007, 41 (4), pp.411-426. ⟨10.1051/ro:2007033⟩, RAIRO-Operations Research, 2007, 41 (4), pp.411-426. ⟨10.1051/ro:2007033⟩
- Publication Year :
- 2007
- Publisher :
- EDP Sciences, 2007.
-
Abstract
- International audience; In telecommunications network design, one of the most frequent problems is to adjust the capacity on the links of the network in order to satisfy a set of requirements. In the past, these requirements were demands based on historical data and/or demographic predictions. Nowadays, because of new technology development and customer movement due to competitiveness, the demands present considerable variability. Thus, network robustness w.r.t demand uncertainty is now regarded as a major consideration. In this work, we propose a min-max-min formulation and a methodology to cope with this uncertainty. We model the uncertainty as the convex hull of certain scenarios and show that cutting plane methods can be applied to solve the underlying problems. We will compare Kelley, Elzinga-Moore and bundle methods.
- Subjects :
- Telecommunications network design
Convex hull
021103 operations research
Operations research
Computer science
0211 other engineering and technologies
robust optimization
min-max-min problems
Robust optimization
020206 networking & telecommunications
02 engineering and technology
Management Science and Operations Research
Bundle methods
Telecommunications network
Computer Science Applications
Theoretical Computer Science
Network planning and design
Channel capacity
cutting plane methods
Robustness (computer science)
0202 electrical engineering, electronic engineering, information engineering
[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]
Cutting-plane method
MSC: 65K05
90C26
90B12
Subjects
Details
- ISSN :
- 12903868 and 03990559
- Volume :
- 41
- Database :
- OpenAIRE
- Journal :
- RAIRO - Operations Research
- Accession number :
- edsair.doi.dedup.....60b47e8a950cf0afe71f7f2309a7aa6b