EURO Journal on Computational Optimization
Call for Papers
Special Issue: Optimization under Uncertainty: theory and algorithms
Deadline for submission: November 1, 2025
The special issue encourages submission of articles addressing new theoretical advances and solution algorithms in the area of stochastic, robust and distributionally robust optimization with special emphasis on exact methods.
Guest editors:
- Assoc. Professor Francesca Maggioni, University of Bergamo, Dalmine, Italy
- Professor Abdel Lisser, University Paris Saclay, CentralSupelec, Saclay, France
Special Issue Information
On occasion of the 34th EURO Conference at the University of Leeds (UK), June 22-25 2025, the EURO Journal on Computational Optimization seeks submissions for a special issue on “Optimization under Uncertainty: theory and algorithms”.
Optimization under uncertainty has seen many recent theoretical and algorithmical advances with strong impact in several application areas such as energy, logistics, finance and machine learning to name few.
EURO Journal on Computational Optimization invites submissions of manuscripts to this special issue from any theoretical and algorithmic area of stochastic, robust and distributionally robust optimization. In particular, the special issue encourages papers addressing new theoretical advances, solution algorithms with particular emphasis on exact methods.
We especially welcome innovative contributions related to, but are not limited to, the following main topics:
- Risk-averse stochastic optimization
- Chance constraints
- Multi-stage and multi-horizon stochastic optimization
- Scenario generation and reduction in stochastic programs
- Robust optimization
- Distributionally robust optimization
- Deep Learning for Optimization under Uncertainty
Submissions are particularly encouraged from (but not restricted to) the participants to the 34th EURO Conference 2025.
Manuscript submission information:
Submission Due Date: 1 Nov 2025
Authors are advised to select the article type of 'VSI: Optimization Under Uncertainty', so that the submission would be classified under this special issue.
Keywords:
Optimization under Uncertainty; Stochastic Optimization; Robust Optimization; Distributionally Robust Optimziation; Risk-Averse Optimization; Chance Constraints; Multistage Stochastic Optimization; Multi-horizon Stochastic Optimization
Why publish in this Special Issue?
- Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
- Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
- Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
- All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 International License and the GNU Free Documentation License (unversioned, with no invariant sections, front-cover texts, or back-cover texts).
