Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Capítulo de Libro

Reliability Optimization of New Generation Nuclear Power Plants Using Artificial Intelligence

Título del libro: Reliability Engineering and Computational Intelligence for Complex Systems: Design, Analysis and Evaluation

Núñez Mc Leod, Jorge EduardoIcon ; Rivera, Selva Soledad
Otros responsables: Elena Zaitseva , Elena; Kvassay, Miroslav
Fecha de publicación: 2023
Editorial: Springer
ISBN: 978-3-031-40996-7
Idioma: Inglés
Clasificación temática:
Otras Ingenierías y Tecnologías

Resumen

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.
Palabras clave: Reliability , Optimization , Nuclear Power Plant , Artificial Intelligence
Ver el registro completo
 
Archivos asociados
Tamaño: 363.8Kb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/261789
URL: https://link.springer.com/chapter/10.1007/978-3-031-40997-4_11
Colecciones
Capítulos de libros(CCT - MENDOZA)
Capítulos de libros de CTRO.CIENTIFICO TECNOL.CONICET - MENDOZA
Citación
Núñez Mc Leod, Jorge Eduardo; Rivera, Selva Soledad; Reliability Optimization of New Generation Nuclear Power Plants Using Artificial Intelligence; Springer; VIII; 2023; 159-174
Compartir

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES