Call for Papers
Topics of Interest
The 17th Learning and Intelligent Optimization conference is an interdisciplinary conference that brings together researchers in operations research, machine learning and related fields. We welcome contributions on all LION themes, i.e., topics containing exact and heuristic optimization involving learning or intelligent techniques, such as determining and applying appropriate optimization methods, expensive algorithm configuration, intelligent learning schemes for learning from past algorithm behavior, hybrid algorithms (evolutionary, etc.) to achieve robust and effective performance. Also, we solicit contributions on this year's special theme "ML and OR pipelines".
We invite submissions presenting new and original research on all topics related and relevant to the conference. All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.
Papers accepted into the LION17 proceedings will be published in Lecture Notes in Computer Science (LNCS).
Submitted papers can have a maximum length of 15 pages (including references) and should use the LNCS template,
which can be found here: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
Papers must be submitted as a PDF in English.
Please note that concurrent submissions are not allowed, and that a unique author of each accepted paper must register for conference
for the paper to be included in the proceedings.
Submit at: https://easychair.org/my/conference?conf=lion17
The site will start accepting submissions on November 1, 2022.
Presentation only abstracts: We also offer the opportunity to submit presentation-only abstracts of up to 2000 characters regarding ongoing or recently published work. These can be submitted as PDF but do not need to adhere to the LNCS format.