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Optimization, Learning Algorithms and Applications: 5th International Conference - Part 2

2026Book Restricted access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorPereira, Ana I.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorTeixeira, João Paulo
dc.contributor.authorLima, José
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorOneto, Luca
dc.contributor.authorLopes, Rui Pedro
dc.date.accessioned2025-11-11T10:45:54Z
dc.date.available2025-11-11T10:45:54Z
dc.date.issued2026
dc.description.abstractThe 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.por
dc.identifier.citationPereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Lima, José; Pacheco, Maria F.; Oneto, Luca; Lopes, Rui Pedro (Eds) (2026). Optimization, Learning Algorithms and Applications: 5th International Conference, Part 2. Cham: Springer Nature. ISBN 978-3-032-00139-9
dc.identifier.doi10.1007/978-3-032-00140-5
dc.identifier.isbn9783032001399
dc.identifier.isbn9783032001405
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttp://hdl.handle.net/10198/35029
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland
dc.relation.ispartofCommunications in Computer and Information Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMulti-objective optimization
dc.subjectOptimization for machine learning
dc.subjectRobotics
dc.subjectHealth informatics
dc.subjectData analysis
dc.titleOptimization, Learning Algorithms and Applications: 5th International Conference - Part 2por
dc.typebook
dspace.entity.typePublication
oaire.citation.endPage274
oaire.citation.startPage1
oaire.citation.titleOptimization, Learning Algorithms and Applications: 5th International Conference
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira
person.familyNameFernandes
person.familyNameCoelho
person.familyNameTeixeira
person.familyNameLima
person.familyNamePacheco
person.familyNameLopes
person.givenNameAna I.
person.givenNameFlorbela P.
person.givenNameJoão Paulo
person.givenNameJoão Paulo
person.givenNameJosé
person.givenNameMaria F.
person.givenNameRui Pedro
person.identifierR-001-EXZ
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person.identifier.orcid0000-0002-9170-5078
person.identifier.ridF-3168-2010
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person.identifier.scopus-author-id15071961600
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