Call for Papers

OL2A 2021 welcomes presentations about all areas of research on optimization and learning, as well as new high-impact applications such as 4th industrial revolution, multi-objective optimization, optimization for machine learning, machine learning for optimization, optimization and learning under uncertainty and others.

All submitted papers will pass through a multiple peer-review process and will carefully be evaluated based on originality, significance, technical soundness, and clarity of exposition. Conference proceedings will be submitted to be published by Springer-Verlag in Communications in Computer and Information Science (CCIS) and Scopus indexation.