LION 4 2010 - Learning and Intelligent OptimizatioN LION 4

Website http://www.intelligent-optimization.org/LION4/ | Edit Freely

Category LION 4 2010

Deadline: October 15, 2009 | Date: January 18, 2010

Venue/Country: Venice, Italy

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

LION 4, Jan 18-22, 2010, Venice, Italy

Building on the success of LION 1 and LION 2 , and LION 3 we are organizing a new event for January 2010. Mark it on your agenda or link to this web page ( http://www.intelligent-optimization.org/LION4 ) and plan for submitting good quality work.

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 is aimed at exploring the boundaries 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.