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Optimization, Learning Algorithms and Applications (OL2A 2024) Part II

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorPereira, Ana I.
dc.contributor.authorFernandes, Florbela P.
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorPaulo Teixeira, Joao
dc.contributor.authorLima, José
dc.contributor.authorPacheco, Maria F.
dc.contributor.authorLopes, Rui Pedro
dc.contributor.authorÁlvarez, Santiago T.
dc.contributor.editorSantiago T.
dc.date.accessioned2025-04-01T15:39:15Z
dc.date.available2025-04-01T15:39:15Z
dc.date.issued2024
dc.description.abstractThis volume, CCIS 2280, contains the refereed proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications (OL2A 2024), a hybrid event held on July 24–26. 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 three 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. Three special sessions were organized on the topics Learning Algorithms in Engineering Education, Optimization in the SDG context, and Optimization in Control Systems Design. The event accepted 41 papers. All papers were carefully reviewed and selected from 105 submissions. All the reviews were carefully carried out by a scientific committee of 115 researchers from twenty-six countries.eng
dc.identifier.citationPereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Paulo Teixeira, João; Lima, José; Pacheco, Maria F.; Lopes, Rui Pedro (Eds.) Optimization, Learning Algorithms and Applications (OL2A 2024), Part II. Cham: Springer Nature. ISBN 978-3-031-77431-7
dc.identifier.doi10.1007/978-3-031-77432-4
dc.identifier.isbn978-3-031-77431-7
dc.identifier.isbn978-3-031-77432-4
dc.identifier.issn1865-0929
dc.identifier.issn1865-0937
dc.identifier.urihttp://hdl.handle.net/10198/34379
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.ispartofCommunications in Computer and Information Science
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleOptimization, Learning Algorithms and Applications (OL2A 2024) Part IIpor
dc.typebook
dspace.entity.typePublication
oaire.citation.endPage301
oaire.citation.startPage1
oaire.citation.title4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024 Part II
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira
person.familyNameFernandes
person.familyNameCoelho
person.familyNamePaulo Teixeira
person.familyNameLima
person.familyNamePacheco
person.familyNameLopes
person.givenNameAna I.
person.givenNameFlorbela P.
person.givenNameJoão Paulo
person.givenNameJoao
person.givenNameJosé
person.givenNameMaria F.
person.givenNameRui Pedro
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person.identifier.ridF-3168-2010
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