LION15: The 15th Learning and Intelligent Optimization Conference Athens, Greece, June 20-25, 2021 |
Conference website | https://lion15.sba-research.org/index.html |
Submission link | https://easychair.org/conferences/?conf=lion15 |
Submission deadline | March 15, 2021 |
The 15th Learning and Intelligent Optimization Conference (LION)
June 20-25, 2021 (Athens, Greece)
The large variety of heuristic algorithms for hard optimization problems raises numerous interesting and challenging issues. Practitioners using heuristic algorithms for hard optimization problems are confronted with the burden of selecting the most appropriate method, in many cases through expensive algorithm configuration and parameter tuning. Scientists seek theoretical insights and demand a sound experimental methodology for evaluating algorithms and assessing strengths and weaknesses. This effort requires a clear separation between the algorithm and the experimenter, who, in too many cases, is "in the loop" as a motivated intelligent learning component. LION deals with 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 online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.
This meeting explores the intersections and uncharted territories between machine learning, artificial intelligence, energy, 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. We are excited to be bringing the LION conference in Greece for the third time.
COVID-19 INFORMATION
The 15th Learning and Intelligent Optimization (LION) conference is planned to take place as a physical conference on June 20-25, 2021 at Athens, Greece.
The 2021 LION Organization is closely monitoring the ongoing COVID-19 situation. The safety and well-being of all conference participants is our top priority. After studying and evaluating the announcements, guidance, and news released by relevant national departments, we are prepared to convert LION15 into an all-digital conference experience. The dates of the conference will remain the same.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Paper Format
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.
- Types of Submissions
When submitting a paper to LION15, 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. 6 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.
- Submission System
All papers must be submitted using EasyChair at https://easychair.org/conferences/?conf=lion15.
List of Topics
LION15 welcomes high quality submissions on the broad topics of machine learning, artificial intelligence, energy, mathematical programming, optimization (models, algorithms and applications) and heuristics. Additionally, more specialized, submission topics for long and short papers may include, but are not limited to:
- automatic solver configuration
- parallel methods for search and optimization
- hard combinatorial optimization problems
- intelligent optimization in health, e-health, bioinformatics and neurosciences
- machine learning and optimization methods in tourism and hospitality
- nature-inspired algorithms for combinatorial optimization problems
- hard combinatorial optimization problems in combinatorics, computational geometry and machine learning
- DC (difference of convex functions) learning: theory, algorithms and applications
- computational intelligence for smart cities
- computational intelligence for autonomous driving
- optimization and management in smart manufacturing
- algorithms and applied optimization for environmental data science
- machine learning and robust optimization techniques in finance applications
- machine learning and optimization methods in software engineering
Committees
Program Committee
- Francesco Archetti , Consorzio Milano Ricerche, Italy
- Annabella Astorino , ICAR-CNR, Italy
- Amir Atiya , Cairo university, Egypt
- Rodolfo Baggio , Bocconi University, Italy
- Roberto Battiti , University of Trento, Italy
- Christian Blum , Spanish National Research Council (CSIC), Spain
- Juergen Branke , The University of Warwick, United Kingdom
- Mauro Brunato , University of Trento, Italy
- Dimitrios Buhalis , Bournemouth University, United Kingdom
- Sonia Cafieri , Ecole Nationale de l'Aviation Civile, France
- Antonio Candelieri , University of Milano Bicocca, Italy
- John Chinneck , Carleton University, Canada
- Kostas Chrisagis , City University London, United Kingdom
- Andre Augusto Cire , University of Toronto, Canada
- Patrick De Causmaecker , Katholieke Universiteit Leuven, Belgium
- Renato De Leone , University of Camerino, Italy
- Luca Di Gaspero , DPIA - University of Udine, Italy
- Ciprian Dobre , University Politehnica of Bucharest
- Adil Erzin , Sobolev Institute of Mathematics
- Giovanni Fasano , University Ca'Foscari of Venice, Italy
- Paola Festa , University of Napoli FEDERICO II, Italy
- Antonio Fuduli , Universita' della Calabria, Italy
- Martin Golumbic , University of Haifa, Israel
- Vladimir Grishagin , Nizhni Novgorod State University, Russia
- Mario Guarracino , ICAR-CNR, Italy
- Youssef Hamadi , Uber AI, France
- Cindy Heo , Ecole hôtelière de Lausanne, Switzerland
- Laetitia Jourdan , INRIA/LIFL/CNRS, France
- Valeriy Kalyagin , Higher School of Economics, Russia
- Alexander Kelmanov , Sobolev Institute of Mathematics, Russia
- Marie-Eleonore Kessaci , Université de Lille, France
- Michael Khachay , Krasovsky Institute of Mathematics and Mechanics, Russia
- Oleg Khamisov , Melentiev Institute of Energy Systems, Russia
- Zeynep Kiziltan , University of Bologna, Italy
- Yury Kochetov , Sobolev Institute of Mathematics, Russia
- Ilias Kotsireas , Wilfrid Laurier University, Waterloo, Canada
- Dmitri Kvasov , DIMES, University of Calabria, Italy
- Dario Landa-Silva , University of Nottingham, United Kingdom
- Hoai An Le Thi , Université de Lorraine, France
- Daniela Lera , University of Cagliari, Italy
- Vittorio Maniezzo , University of Bologna, Italy
- Silvano Martello , University of Bologna, Italy
- Francesco Masulli , University of Genova, Italy
- Nikolaos Matsatsinis , Technical University of Crete, Greece
- Kaisa Miettinen , University of Jyväskylä, Finland
- Serafeim Moustakidis , AIDEAS OU, Greece
- Evgeni Nurminski , FEFU, Russia
- Panos Pardalos , University of Florida, USA
- Konstantinos Parsopoulos , University of Ioannina, Greece
- Marcello Pelillo , University of Venice, Italy
- Ioannis Pitas , Aristotle University of Thessaloniki, Greece
- Vincenzo Piuri , Universita' degli Studi of Milano, Italy
- Mikhail Posypkin , Dorodnicyn Computing Centre, FRC CSC RAS, Russia
- Oleg Prokopyev , University of Pittsburgh, USA
- Helena Ramalhinho , Universitat Pompeu Fabra, Spain
- Mauricio Resende , Amazon.com, USA
- Andrea Roli , University of Bologna, Italy
- Massimo Roma , SAPIENZA Universita' of Roma, Italy
- Valeria Ruggiero , University of Ferrara, Italy
- Frédéric Saubion , University of Angers, France
- Andrea Schaerf , University of Udine , Italy
- Marc Schoenauer , INRIA Saclay Île-de-France, France
- Meinolf Sellmann , GE Research, USA
- Yaroslav Sergeyev , University of Calabria, Italy
- Marc Sevaux , Lab-STICC, Université de Bretagne-Sud, France
- Dimitris Simos , SBA Research, Austria
- Thomas Stützle , Université Libre de Bruxelles (ULB), Belgium
- Tatiana Tchemisova , University of Aveiro, Portugal
- Gerardo Toraldo , University of Naples Federico II, Italy
- Michael Trick , Carnegie Mellon University, USA
- Toby Walsh , The University of New South Wales, Sydney, Australia
- David Woodruff , University of California, Davis, USA
- Dachuan Xu , Beijing University of Technology, Chine
- Luca Zanni , University of Modena and Reggio Emilia, Italy
- Qingfu Zhang , University of Essex & City U of HK, Hong Kong
- Anatoly Zhigljavsky , Cardiff University, United Kingdom
- Antanas Zilinskas , Vilnius University, Lithuania
- Andre de Carvalho , University of São Paulo, Brasil
- Julius Žilinskas , Vilnius University, Lithuania
Organizing committee
- Panos Pardalos (General Chair), Center for Applied Optimization, University of Florida, USA
- Dimitris E. Simos (Technical Program Committee Chair), SBA Research, Austria & Institute for Software Technology, Graz University of Tecnology, Austria & Information Technology Laboratory, National Institute of Standards and Technology (NIST), USA
- Ilias Kotsireas (Local Organizing Committee Chair), CARGO Lab, Wilfrid Laurier University, Canada
Publication
LION15 proceedings will be published by Springer-Verlag in Lecture Notes in Computer Science.
Revised selected papers of LION15 will be published in a special issue of Annals of Mathematics and Artificial Intelligence.
Contact
All questions about submissions should be emailed to the Technical PC Chair, Dimitris E. Simos at dsimos@sba-research.org