LION: Learning and Intelligent Optimization



Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
LION 2024 18th Conference on Learning and Intelligent Optimization
Jun 9, 2024 - Jun 13, 2024 Naples, Italy Mar 4, 2024
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 : 2024

This meeting, which continues the successful series of LION events (LION 14 in Athens, LION 16 in Milos Island, LION 17 in Nice), is exploring the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

The main purpose of the event is to bring together experts from these areas to discuss new ideas and methods, challenges and opportunities in various application areas, general trends and specific developments.

The large variety of heuristic algorithms for hard optimization problems raises numerous interesting and challenging issues. Practitioners are confronted with the burden of selecting the most appropriate method, in many cases through an expensive algorithm configuration and parameter tuning process, and subject to a steep learning curve. Scientists seek theoretical insights and demand a sound experimental methodology for evaluating algorithms and assessing strengths and weaknesses. A necessary prerequisite for this effort is a clear separation between the algorithm and the experimenter, who, in too many cases, is "in the loop" as a crucial intelligent learning component. Both issues are related to designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained from different runs or during a single run can improve the algorithm development and design process and simplify the applications of high-performance optimization methods. Combinations of algorithms can further improve the robustness and performance of the individual components provided that sufficient knowledge of the relationship between problem instance characteristics and algorithm performance is obtained.

Papers accepted into the LION18 proceedings will be published in Lecture Notes in Computer Science (LNCS). Please prepare your paper in English using the Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF at

When submitting a paper to LION18, authors are required to select one of the following three types of papers:

Long paper: original novel and unpublished work (max. 15 pages in LNCS format);
Short paper: an extended abstract of novel work (max. 4 pages in LNCS format);
Work for oral presentation only (no page restriction; any format).

For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference. See the conference website or contact the conference organizers for further information.

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.

The complete Call for paper can be found here:

Important dates

All deadlines are Anywhere on Earth (AoE = UTC-12h).

Special Sessions proposals:
submission opens October 12, 2023;
submission closes October 25, 2023;
notification of acceptance October 31, 2023.
Abstract only submission:
submission opens October 31, 2023;
submission closes March 4, 2024;
notification of acceptance April 15, 2024.
Full Paper submission:
full paper submission opens January 11, 2024;
full paper submission deadline March 4, 2024;
full paper notification of acceptance April 15, 2024.

April 1, 2024, registration opens
April 30, 2024, early registration deadline
May 1, 2024, conference pre-proceedings
June 9-13, 2024, conference at Ischia, Italy

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