International Conference on Optimization and Learning

International Conference on Optimization and Learning (OLA2021)

The International Conference in Optimization and Learning (OLA2021, choice between onsite and online participation) focuses on the future challenges of optimization and learning methods and their applications.

OLA2021 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. OLA2021 welcomes presentations that cover any aspects of optimization and learning research such as new high-impact applications, parameter tuning, 4th industrial revolution, new research challenges, hybridization issues, optimization-simulation, meta-modeling, high-performance and exascale computing, surrogate modeling, multi-objective optimization, optimization for machine learning, deep learning and optimization, machine learning for optimization, optimization and learning under uncertainty, etc.

Accepted papers will be published in the proceedings that will be available at the conference. Additionally, selected long papers will be published in a Springer volume of Communications in Computer and Information Science (CCIS) series (SCOPUS indexed). Two Journal Special Issues are also planned within OLA2021:

- Algorithms (indexed by SCOPUS, Web of science, DBLP, ..)

- Special Issue on Intelligent Data-Centric Systems Journal of Mathematical Biosciences and Engineering

Hybrid mode: onsite and online participation

Online user: 2

Privacy