OLA'2027
           International Conference on Optimization and Learning
                           05-07 May 2027
                          Krakow, Poland
                 http://ola2027.sciencesconf.org/
                     SCOPUS Springer Proceedings (Q2)
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OLA is a conference focusing on the future challenges of optimization
and/or machine learning methods and their applications. The conference
OLA'2027 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'2027 welcomes presentations that cover any aspects of optimization
and/or machine 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 12 pages
–    S3: High-quality manuscripts that have recently, within the last
year, been submitted or accepted for journal publication

Important dates:
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Paper submission deadline extension    Dec 18, 2027
Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings. A SCOPUS and DBLP indexed Springer book series will
be published for accepted long papers. Proceedings will be available at
the conference.