LION: Learning and Intelligent Optimization

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
LION 2023 Learning and Intelligent Optimization 17
Jun 4, 2023 - Jun 8, 2023 Nice, France Feb 1, 2023 (Jan 25, 2023)
LION 2022 Learning and Intelligent Optimization
Jun 5, 2022 - Jun 10, 2022 Milos Island, Cyclades, Greece Feb 28, 2022
LION 2021 Learning and Intelligent Optimization
Jun 20, 2021 - Jun 25, 2021 Athens, Greece Mar 15, 2021
LION 2020 Learning and Intelligent Optimization
May 24, 2020 - May 28, 2020 Athens Dec 31, 2019
LION 2019 Learning and Intelligent Optimization
May 27, 2019 - May 31, 2019 Chania, Greece Jan 13, 2019
LION 2018 Learning and Intelligent Optimization
Jun 10, 2018 - Jun 15, 2018 Kalamata, Greece Jan 15, 2018
LION 2013 Learning and Intelligent Optimization Conference
Jan 7, 2013 - Jan 11, 2013 Catania, Italy Oct 14, 2012
LION 2011 Learning and Intelligent Optimization
Jan 17, 2011 - Jan 21, 2011 Rome, Italy Oct 16, 2010
LION 2009 Learning And Intelligent Optimization
Jan 14, 2009 - Jan 18, 2009 Trento, Italy Oct 15, 2008
 
 

Present CFP : 2023

Call For Papers: The 17th Conference on Learning and Intelligent Optimization (LION17) to be held in Nice, France from June 4-8, 2023

Important dates

Abstract submission: January 25, 2023
Full paper submission: February 1, 2023
Author notification: March 8, 2023
Presentation only abstracts: March 1, 2023
Conference pre-proceedings: May 1, 2023

Submit at: https://easychair.org/my/conference?conf=lion17
The site will start accepting submissions on November 1, 2022.

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.

Proceedings

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.


Special Sessions

In addition to submissions about general LION themes, we also welcome submissions related to one of our special sessions. The special sessions will be part of the regular conference and are subject to the same peer-review as all other submissions.

Special session 1: Bayesian Optimization and (Machine) Learning: Solutions, Applications, Challenges, and Perspectives
Organized by: Antonio Candelieri and Francesco Archetti (University of Milano-Bicocca)

Special session 2: Combinatorial and Integer Optimization Layers in Deep Learning
Organized by: Elias B. Khalil (University of Toronto), Bistra Dilkina (University of Southern California), Axel Parmentier (Ecole Nationale des Ponts et Chaussées)

Special session 3: Learning and Intelligent Optimization for Physical Systems
Organized by: Michael Vrahatis and Konstantinos Chatzilygeroudis (University of Patras)

Special session 4: Data-Driven Optimization with Business Process Mining
Organized by: Om Prakash Vyas (Indian Institute of Information Technology Allahabad) and JeromeGeyer-Klingeberg (Celonis)

Special session 5: Responsible AI in Practice
Organized by: Hendrik Baier, Laurens Bliek, Zaharah Bukhsh, Isel Grau, Yingqian Zhang (Eindhoven University of Technology)

For full descriptions of the special sessions, please see http://lion17.org


Presentation only abstracts

We also offer the opportunity to submit presentation-only abstracts of up to 2000 characters regarding ongoing or recently published work.

Program committee

Meinolf Sellmann (InsideOpt)
Kevin Tierney (Bielefeld University)

See the full program committee at http://lion17.org



 

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