Guest Editors: Bissan Ghaddar and Markus Leitner
Submitted papers should use or incorporate methods from machine learning to solve challenging optimization problems. Both methodological contributions and innovative applications, typically validated through convincing computational experiments are equally welcome.
Topics of interest include, but are not limited to:
The Journal’s submission system is open for submissions to our Special Issue. When submitting your manuscript please select the article type “VSI:Machine learning for optimization” so that the article will be considered for the special issue. Please submit your manuscript by 15th November 2024.
The submission link is: https://www.editorialmanager.com/ejcomp
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/euro-journal-on-computational-optimization
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at Guide for authors - EURO Journal on Computational Optimization - ISSN 2192-4406 | ScienceDirect.com by Elsevier
Inquiries, including questions about appropriate topics, may be sent electronically to the Guest Editors.
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).