Where is LION 2019 held?

LION 2019 is held in Chania, Greece.

When does LION 2019 take place?

LION 2019 takes place on 2019-05-27.

Conference Information

LION 2019: Learning and Intelligent OptimizatioN Conference

Q: What is the submission deadline for LION 2019?

The paper submission deadline for LION 2019 (Learning and Intelligent OptimizatioN Conference) is 2019-02-17 (extended).

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Submission Date:

2019-02-17 Extended

Notification Date:

2019-03-17

Conference Date:

2019-05-27

Location:

Chania, Greece

Viewed: 13046 Tracked: 0 Attend: 0

Conference Partner Index (CP-I)

42.1 / 100

Ranked #4,135 of 5,682 conferences · Top 73%

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.

Academic recognition (35%)	No data - scored at the neutral baseline of 50	—
Submission selectivity (20%)	No data - scored at the neutral baseline of 50	—
Editions held (20%)	No data - scored at the neutral baseline of 50	—
Community attention (10%)		8
Public record completeness (15%)		25

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-14

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Call For Papers

LION 2019 (Learning and Intelligent OptimizatioN Conference) is an academic conference held in Chania, Greece on 2019-05-27. The paper submission deadline is 2019-02-17 (extended). Acceptance notifications are sent on 2019-03-17.

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, 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.

Last updated by Dou Sun on 2019-01-13

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