Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Back
Home
Detailed Reference
Request a copy
Article (Scientific journals)
An empirical analysis of scenario generation methods for stochastic optimization
Löhndorf, Nils
2016
•
In
European Journal of Operational Research, 255
(1), p. 121--132
Peer reviewed
Permalink
https://hdl.handle.net/10993/46000
DOI
10.1016/j.ejor.2016.05.021
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
Löhndorf (2016, EJOR) Scenario Generation.pdf
Publisher postprint (857.98 kB)
Request a copy
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Quantitative methods in economics & management
Author, co-author :
Löhndorf, Nils
;
University of Luxembourg > Faculty of Law, Economics and Finance (FDEF)
External co-authors :
no
Language :
English
Title :
An empirical analysis of scenario generation methods for stochastic optimization
Publication date :
2016
Journal title :
European Journal of Operational Research
Publisher :
North-Holland
Volume :
255
Issue :
1
Pages :
121--132
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 29 January 2021
Statistics
Number of views
99 (0 by Unilu)
Number of downloads
0 (0 by Unilu)
More statistics
Scopus citations
®
75
Scopus citations
®
without self-citations
75
OpenCitations
58
OpenAlex citations
88
WoS citations
™
69
Bibliography
Similar publications
Contact ORBilu
