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 5 at Rome, and LION 6 at Paris, and LION 7 at Catania), 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. We are excited to be bringing the LION conference in Greece for the first time.

Proceedings

1. Conference proceedings will be published by Springer-Verlag in Lecture Notes in Computer Science

   

2. Revised selected papers of LION 12 will be published in a special issue of Annals of Mathematics and Artificial Intelligence

   

   Dear LION 12 Participants,
   
   here is the information regarding the AMAI LION 12 Special Issue:

   1. submission deadline: October 31, 2018
   2. Guest Editors: Ilias S. Kotsireas, Panos M. Pardalos
   3. Please submit your paper by logging in to AMAI's Editorial Manager at: https://www.editorialmanager.com/amai/ and select the article type S695 LION12

   
   Kind regards,
   
   LION 12 Organizers

Important dates

December 15, 2017 January 15, 2018: Paper submission (N.B.: NO other extensions will be granted!)
February 15, 2018: Author Notification
March 19, 2018: Camera ready for pre-proceedings, send all source files to Dimitris Souravlias
Please use the subject line "LION 12 pre-proceedings source files, paper ID".
March 31, 2018: Registration opens
June 10-15, 2018: Conference
July 15, 2018: Submission of camera-ready papers, formatted according to Springer's LNCS guidelines

Best Paper Award

Thanks to Springer's sponsorship, LION 12 will have a Best Paper Award of EUR 1,000 !

They talk about us!

Article on eleftheria online

Organization

• 
  Panos Pardalos, Center for Applied Optimization, University of Florida (USA)
• 
  Ilias Kotsireas , CARGO Lab, Wilfrid Laurier University (Canada)

Sponsors

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