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LION15: The 15th Learning and Intelligent Optimization Conference
Athens, Greece, June 20-25, 2021
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Conference website https://lion15.sba-research.org/index.html
Submission link https://easychair.org/conferences/?conf=lion15
Extended Submission deadline March 15, 2021
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.
Plenary/Invited Speakers
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Martin Charles Golumbic (University of Haifa, Israel)
"B_k-VPG graphs – the string graphs of paths on a grid"
Evangelos Kranakis (Carleton University, Canada)
"Communication and Mobility in Optimization for Infrastructure Resilience"
Paul Spirakis (University of Liverpool, UK and University of Patras, Greece)
"Temporal Networks and the impact of availability patterns"
Turorial Speakers
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Rick Kuhn (NIST, USA)
Combinatorial Difference Methods in AI
Franz Wotawa (Graz University of Technology, Austria)
Title: On the use of ontologies for automated test suite generation
COVID-19 INFORMATION
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The 15th Learning and Intelligent Optimization (LION) conference is
planned to take place as a hybrid (on-site and on-line) conference
on June 20-25, 2021 at Athens, Greece.
Submission Guidelines
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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
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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
Organizing committee
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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
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LION15 proceedings will be published by SpringerNature in the series
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
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All questions about submissions should be emailed to the Technical PC
Chair, Dimitris E. Simos at [email protected]_______________________________________________
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