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OLA'2027 International Conference on Optimization and Learning 05-07 May 2027 Krakow, Poland http://ola2027.sciencesconf.org/ SCOPUS Springer Proceedings (Q2)****************************************************************************************
OLA is a conference focusing on the future challenges of optimization and/or machine learning methods and their applications. The OLA'2027 conference will provide an opportunity for the international research community in optimization and learning to discuss recent research results and 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, the 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
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We will accept three 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, 2026
* 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.
Posted on 2026-10-08 by Sarah Fores