LION 2021 - CALL FOR PAPERS

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The 15th Learning and Intelligent Optimization (LION) conference

June 20-25, 2021 online
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The 15th Learning and Intelligent Optimization (LION) conference is planned to 
take place as a virtual conference on June 20-25, 2021 online.

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Conference website https://lion15.sba-research.org/index.html
Submission link     https://easychair.org/conferences/?conf=lion15
Extended Submission deadline April 15, 2021, Anywhere on Earth (AoE = UTC-12h)
Author notification May 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
----------------------

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]<mailto:[email protected]>
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