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Advisor(s)
Abstract(s)
The volume CCIS 1488 contains the refereed proceedings of the International
Conference on Optimization, Learning Algorithms and Applications (OL2A 2021), an
event that, due to the COVID-19 pandemic, was held online.
OL2A 2021 provided a space for the research community on optimization and
learning to get together and share the latest developments, trends, and techniques
as well as develop new paths and collaborations. OL2A 2021 had more than 400
participants in an online environment throughout the three days of the conference
(July 19–21, 2021), discussing topics associated to areas such as optimization
and learning and state-of-the-art applications related to multi-objective optimization,
optimization for machine learning, robotics, health informatics, data analysis,
optimization and learning under uncertainty, and the Fourth Industrial Revolution.
Four special sessions were organized under the following topics: Trends in
Engineering Education, Optimization in Control Systems Design, Data Visualization
and Virtual Reality, and Measurements with the Internet of Things. The event had 52
accepted papers, among which 39 were full papers. All papers were carefully reviewed
and selected from 134 submissions. All the reviews were carefully carried out by a
Scientific Committee of 61 PhD researchers from 18 countries.
Description
Keywords
Citation
Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) (2021). Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. ISBN 978-3-030-91884-2
Publisher
Springer Nature