Technical program
Invited and Tutorials
Venue, Hotels and Social
Paper Submission
Special Sessions
Program Committee
Instructions for authors

Learning and Intelligent OptimizatioN Conference
LION 7, Catania - Italy, Jan 7-11, 2013


Photo album

The conference is finished, some photos of the event (courtesy of Mauricio Resende and Paolo Campigotto) are available: Photo album

Best paper awards

The selected best papers of LION7 (congratulations to the authors!) are:

Long paper category:
Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence
Amos Ng, Catarina Dudas, Henrik Boström & Kalyanmoy Deb   PDF camera ready

Short paper category: Generating Customized Landscapes in Permutation-based Combinatorial Optimization Problems
Leticia Hernando, Alexander Mendiburu & Jose A. Lozano   PDF camera ready

Scope of the conference

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.

This meeting, which continues the successful series of LION events (see LION 4 at Venice, and LION 5 at Rome, and LION 6 at Paris), is aimed at 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.

Important dates

January 3, 2013: Registration
January 3, 2013: Camera ready for pre-proceedings sent to to lion7@reactive-search.com
January 7-11, 2013: Conference
February 24, 2013: Camera ready for post-proceedings


Conference and Technical Program Committee Co-Chairs:

Panos Pardalos, Center for Applied Optimization, University of Florida (USA) and Giuseppe Nicosia, University of Catania (Italy)

Special Session Chair: Giovanni Stracquadanio , stracquadanio AT jhu.edu



Special issue planned by: AMAI (Annals of Mathematics and Artificial Intelligence)
AMAI special issue

LION Steering Committee:

Roberto Battiti (head), Holger Hoos, Youssef Hamadi, Mauro Brunato, Thomas Stuetzle, Christian Blum, Martin Charles Golumbic, Marc Schoenauer, Xin Yao, Benjamin W. Wah

Invited talks and tutorials


If you want to link to this event from your local pages, just cut and paste the following four lines in HTML:
<a href="http://www.intelligent-optimization.org/LION7/">
<IMG src="http://lion.dit.unitn.it/~battiti/images/lion-small-new.jpg">
LION 7, Learning and Intelligent OptimizatioN, Catania,
Jan 7-11, 2013 </a>
To obtain a link in your page that looks like:
LION 7, Learning and Intelligent OptimizatioN, Catania, Jan 7-11, 2013

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