[Event at CIG] OLA'2022 at Sicilia Extended deadline
El-ghazali Talbi
el-ghazali.talbi at univ-lille.fr
Wed Feb 9 21:02:02 CET 2022
Apologies for cross-posting. Appreciate if you can distribute this CFP
to your network.
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OLA'2022
International Conference on Optimization and Learning
18-20 July 2022
Syracuse (Sicilia), Italy
http://ola2022.sciencesconf.org/
SCOPUS Springer Proceedings
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OLA is a conference focusing on the future challenges of optimization
and learning methods and their applications. The conference OLA'2022
will provide an opportunity to the international research community in
optimization and learning to discuss recent research results and to
develop new ideas and collaborations in a friendly and relaxed atmosphere.
OLA'2022 welcomes presentations that cover any aspects of optimization
and learning research such as big optimization and learning,
optimization for learning, learning for optimization, optimization and
learning under uncertainty, deep learning, new high-impact applications,
parameter tuning, 4th industrial revolution, computer vision,
hybridization issues, optimization-simulation, meta-modeling,
high-performance computing, parallel and distributed optimization and
learning, surrogate modeling, multi-objective optimization ...
Submission papers: We will accept two different types of submissions:
- S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
- S2: Original research contributions of a maximum of 10 pages
Important dates:
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Paper submission extended deadline Feb 25, 2022
Notification of acceptance March 25, 2022
Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings. A SCOPUS and DBLP indexed Springer book will be
published for accepted long papers. Proceedings will be available at the
conference.
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OLA'2022
International Conference on Optimization and Learning (SCOPUS, Springer)
18-20 July 2022, Syracuse, Sicilia, Italy
http://ola2022.sciencesconf.org
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Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA
CRISTAL - CNRS
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