Robust Network Design

Arie M. C. A. Koster () and Daniel R. Schmidt ()
Additional contact information
Arie M. C. A. Koster: RWTH Aachen University
Daniel R. Schmidt: University of Bonn

Chapter Chapter 11 in Network Design with Applications to Transportation and Logistics, 2021, pp 317-343 from Springer

Abstract: Abstract In robust optimization, the uncertainty of input parameters is approached by finding a solution that is feasible for all considered input vectors. After a brief introduction to robust optimization, in this chapter, the robust network design problem is surveyed, i.e., the network design problem under demand uncertainty.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:sprchp:978-3-030-64018-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9783030640187

DOI: 10.1007/978-3-030-64018-7_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().