Risk Aversion in Two-Stage Stochastic Integer Programming
Rüdiger Schultz ()
Additional contact information
Rüdiger Schultz: University of Duisburg-Essen, Campus Duisburg
Chapter Chapter 8 in Stochastic Programming, 2010, pp 165-187 from Springer
Abstract:
Abstract Some recent developments in the area of risk aversion in stochastic integer programming are surveyed. After a discussion of modeling guidelines and resulting mean–risk stochastic integer programs emphasis is placed on structural properties of these optimization problems and on algorithms for their solution. Bibliographical notes conclude the Chapter.
Keywords: Risk Aversion; Risk Model; Stochastic Program; Lagrangian Relaxation; Stochastic Dominance (search for similar items in EconPapers)
Date: 2010
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:isochp:978-1-4419-1642-6_8
Ordering information: This item can be ordered from
http://www.springer.com/9781441916426
DOI: 10.1007/978-1-4419-1642-6_8
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().