Author(s): Pereira, Ana I. ; Fernandes, Florbela P. ; Coelho, João Paulo ; Teixeira, João Paulo ; Lima, José ; Pacheco, Maria F. ; Oneto, Luca ; Lopes, Rui Pedro
Date: 2026
Persistent ID: http://hdl.handle.net/10198/35029
Origin: Biblioteca Digital do IPB
Subject(s): Multi-objective optimization; Optimization for machine learning; Robotics; Health informatics; Data analysis
The volumes CCIS 2617 and 2618 contain the refereed proceedings of the V International Conference on Optimization, Learning Algorithms and Applications (OL2A 2025), a hybrid event held on April 28–30. OL2A 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 had the participation of more than two hundred participants in an online and face-to-face environment throughout three days, discussing topics associated with 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 4th industrial revolution. Four special sessions were organized under the topics Artificial Intelligence in Healthcare and Medicine, Optimization in the SDG Context, Optimization in Control Systems Design, and Machine Learning and Artificial Intelligence in Robotics. The event had 38 accepted papers. All papers were carefully reviewed and selected from the 92 received submissions, with each paper receiving three double-blind reviews on average. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-one countries.
