Call for Papers του "LION19 - The 2024 Learning and Intelligent Optimization Conference" το οποίο θα λάβει χώρα στην Πράγα (Τσεχία) από τις 15 έως τις 19 Ιουνίου 2025.

Στα πλαίσια του συνεδρίου διοργανώνουμε ένα special session με τίτλο "Learning and Intelligent Optimization for Physical Systems" και σας προσκαλούμε να συμμετάσχετε υποβάλλοντας κάποιο άρθρο (είτε στο δικό μας session είτε και γενικά στο συνέδριο). Μπορείτε να συμμετέχετε με τριών ειδών εργασίες:

1) Long paper: original novel and unpublished work (12-15 pages in LNCS format);
2) Short paper: an extended abstract of novel work (6-11 pages in LNCS format);
3) Abstract: for oral presentation only (maximum 1000 words in LNCS format).

Η καταληκτική ημερομηνία υποβολής εργασιών (μέσω OpenReview) είναι 31 Ιανουαρίου 2025 (συνήθως δίνεται μία μικρή παράταση).

Περισσότερες πληροφορίες μπορείτε να βρείτε στην ιστοσελίδα του συνεδρίου, https://lion19.org, αλλά και στο flyer που έχουν δημιουργήσει οι διοργανωτές.

Στη διάθεσή σας για οποιαδήποτε επιπλέον πληροφορία.

Με εκτίμηση,
Κων/νος Χατζηλυγερούδης, Τμήμα Ηλεκτρολόγων Μηχανικών και Τεχνολογίας Υπολογιστών, Πανεπιστήμιο Πατρών, https://lar.upatras.gr/
Μιχαήλ Βραχάτης, Τμήμα Μαθηματικών, Πανεπιστήμιο Πατρών, https://thalis.math.upatras.gr/~vrahatis/

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Call For Papers: The 19th Conference on Learning and Intelligent Optimization (LION19) to be held in Prague, Czech Republic from June 15-19, 2025

Description

This meeting, which continues the successful series of LION events started 18 years ago (latest editions LION18 @ Ischia, Italy, LION17 @ Nice, France), is exploring the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. The LION Manifesto defines the research area that is relevant for this event. The main purpose of the venue 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.

Proceedings

Papers accepted into the LION19 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 https://openreview.net/group?id=intelligent-optimization.org/LION/2025.

When submitting a paper to LION19, authors are required to select one of the following three types of papers:

1) Long paper: original novel and unpublished work (12-15 pages in LNCS format);
2) Short paper: an extended abstract of novel work (6-11 pages in LNCS format);
3) Abstract: for oral presentation only (maximum 1000 words in LNCS 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.

A flyer with more information can be found here: https://dis2025.ujep.cz/wp-content/uploads/2024/09/posterLION19.jpg

Important dates

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

Submission opens: October 1, 2024.
Submission deadline: January 31, 2025.
Author notification: March 10, 2025.
Registration opens: March 11, 2025.
Early registration deadline: April 20, 2025.
Late registration deadline: May 20, 2025.
Conference at Prague, Czech Republic, June 15–19, 2025.

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: (Deep) Reinforcement Learning in OR Optimization
Organizers: Lin Xie (Brandenburg University of Technology & University of Twente), Jinkyoo Park (Korea Advanced Institute of Science and Technology), and Yaoxin Wu (Eindhoven University of Technology)
 
Special session 2: Enhancing Exact Combinatorial Optimization Solvers with Machine Learning
Organizers: Quentin Cappart (Polytechnique Montréal)

Special session 3: Sustainability in surrogate models, Bayesian optimization, and parameter tuning
Organizers: Antonio Candelieri (University of Milano-Bicocca), Laurens Bliek (Eindhoven University of Technology)
 
Special session 4: Learning and Intelligent Optimization for Physical Systems
Organizers: Konstantinos Chatzilygeroudis (University of Patras), Michael Vrahatis (University of Patras)
 
Please see http://lion19.org for more descriptions of the special sessions.

General Chairs
Milan Hladik, Charles University, Prague, Czech Republic
Hossein Moosaei, Jan Evangelista Purkyně University, Czech Republic

Technical Program Committee Chair
Yingqian Zhang, Eindhoven University of Technology, The Netherlands

See the full program committee at http://lion19.org