OLA'2019 @Thailand

[El-ghazali Talbi]

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                           OLA'2019
International Conference on Optimization and Learning: Challenges and 
Applications

                           29-31 Jan 2019
                          Bangkok Thailand

                 http://ola2019.sciencesconf.org/
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OLA is a conference focusing on the future challenges of optimization 
and learning methods and their applications. The conference OLA'2019 
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'2019 welcomes presentations that cover any aspects of optimization 
and learning research such as optimization for learning, learning for 
optimization, optimization and learning under uncertainty, new 
high-impact applications, parameter tuning, 4th industrial revolution, 
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 submissions in two different formats:
-       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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Submission deadline     Oct 19 2018
Notification of acceptance     Nov  9, 2018

Proceedings: Accepted papers in categories S1 and S2 will be published 
in the proceedings that will be available at the conference. In 
addition, a post-conference indexed Springer book and special issue of 
Journal (ITOR International Transaction on Operational Research) is 
planned to be published. Participants will be invited to submit extended 
versions of their work for consideration.

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OLA'2019
Int. Conference on Optimization and Learning
29-31 Jan 2019, Bangkok, Thailand
http://ola2019.sciencesconf.org
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Prof. El-ghazali TALBI
Polytech'Lille, University Lille - INRIA - CNRS