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dc.contributor.author
Núñez Mc Leod, Jorge Eduardo
dc.contributor.author
Rivera, Selva Soledad
dc.contributor.other
Elena Zaitseva , Elena
dc.contributor.other
Kvassay, Miroslav
dc.date.available
2025-05-16T10:56:55Z
dc.date.issued
2023
dc.identifier.citation
Núñez Mc Leod, Jorge Eduardo; Rivera, Selva Soledad; Reliability Optimization of New Generation Nuclear Power Plants Using Artificial Intelligence; Springer; VIII; 2023; 159-174
dc.identifier.isbn
978-3-031-40996-7
dc.identifier.uri
http://hdl.handle.net/11336/261789
dc.description.abstract
The objective of the project was to develop an Artificial Intelligence module so that the exploration and exploitation that is incorporated into an evolutionary algorithm, would allow to face the optimization of the reliability of the conceptual design of New Generation Nuclear Power Plants. As particular objectives, it was expected to develop an adaptive evolutionary algorithm with efficient Artificial Intelligence for the proposed problem, to develop a tool for optimizing the reliability design in projects of new generation Nuclear Power Plants and to provide human resources in Artificial Intelligence. To evaluate the results of the new algorithm, the percentages of improvement in the time of obtaining the same quasi-optimal solution with respect to obtaining through the Evolutionary Algorithm without Artificial Intelligence have been measured. The times improved compared to the previous ones by 32%, which clearly demonstrates the improvement incorporated by the development carried out.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Reliability
dc.subject
Optimization
dc.subject
Nuclear Power Plant
dc.subject
Artificial Intelligence
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Reliability Optimization of New Generation Nuclear Power Plants Using Artificial Intelligence
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
info:eu-repo/semantics/bookPart
dc.type
info:ar-repo/semantics/parte de libro
dc.date.updated
2025-05-14T12:42:27Z
dc.journal.volume
VIII
dc.journal.pagination
159-174
dc.journal.pais
Suiza
dc.description.fil
Fil: Núñez Mc Leod, Jorge Eduardo. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.description.fil
Fil: Rivera, Selva Soledad. Universidad Nacional de Cuyo. Facultad de Ingenieria. Instituto de Capacitación Especial y Desarrollo de Ingeniería Asistida por Computadora; Argentina
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-031-40997-4_11
dc.conicet.paginas
225
dc.source.titulo
Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation
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