EconPapers    
Economics at your fingertips  
 

The State of Robust Optimization

Seçil Sözüer () and Aurélie C. Thiele ()
Additional contact information
Seçil Sözüer: Lehigh University
Aurélie C. Thiele: Lehigh University

Chapter Chapter 5 in Robustness Analysis in Decision Aiding, Optimization, and Analytics, 2016, pp 89-112 from Springer

Abstract: Abstract This survey presents a broad overview of the developments in robust optimization over the past 5 years, i.e., between 2011 and 2015. We highlight the advancement of knowledge both with respect to the theory of robust optimization and application areas. From a theoretical standpoint, we describe novel findings in static and multi-stage decision making, the connection with stochastic optimization, distributional robustness and robust nonlinear optimization. In terms of application areas, we consider inventory and logistics, finance, revenue management and health care. We conclude with guidelines for researchers interested in immunizing their problem against uncertainty.

Keywords: Robust Optimization; Chance Constraint; Coherent Risk Measure; Robust Counterpart; Newsvendor Problem (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (3)

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:978-3-319-33121-8_5

Ordering information: This item can be ordered from
http://www.springer.com/9783319331218

DOI: 10.1007/978-3-319-33121-8_5

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 ().

 
Page updated 2025-04-01
Handle: RePEc:spr:isochp:978-3-319-33121-8_5