Abstract

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 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, machine learning for optimization, optimization and learning under uncertainty. Accepted papers will be published in the proceedings that will be available at the conference. In addition, a post-conference indexed Springer book will be published. Participants will be invited to submit extended versions of their work for consideration.