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MESS 2024 : Metaheuristics Summer School ~ autoDL meets HPC

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Link: https://www.ants-lab.it/mess2024/
 
When Jul 15, 2024 - Jul 18, 2024
Where Catania, Italy
Submission Deadline Mar 16, 2014
Notification Due Mar 30, 2014
Final Version Due Apr 30, 2014
Categories    metaheuristics   machine learning   optimization   high-performance computing
 

Call For Papers

The 3rd international Metaheuristics Summer School – MESS 2024 – is aimed at qualified and strongly motivated MSc and PhD students; post-docs; young researchers, and both academic and industrial professionals to provide them with an overview on the metaheuristics techniques, and an in-depth analysis of the state-of-the-art. It is a full-immersion four-days course in the beautiful city of Catania whose goal is to offer all participants with a stimulating environment to study and learn advanced concepts and recent research in the fields of Metaheuristics, Optimization, Machine Learning and Artificial Intelligence, in general.

The main theme of this third edition is focused on “Automated Deep Learning Meets High-Performance Computing”, that is how these research areas may interact and affect each other in order to develop reliable and robust solving methodologies for Big Data analysis, and data-driven problems.

MESS 2024 also offers the possibility to all attendants to present their recent results and/or their works in progress through interaction with their scientific peers, in a professional and constructive environment.

As carried out in the past editions, also in this edition all participants will be involved in the “Metaheuristics Competition Race”, where each of them, individually or divided in working groups (no more than 3 people), will develop a metaheuristic solution for a given problem presented during the school. The top three of the competition ranking will receive the MESS 2024 award and will be involved in the writing of a manuscript dedicated to the competition that, afterwards, will be submitted to an international journal for possible publication. In addition, the remaining best ten in the ranking (excluding the top three, of course) will be invited to report their work in a manuscript which will be published in the special MESS 2024 Volume of the AIRO Springer Series.

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