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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