Nuclear reactor reload using Quantum Inspired Algorithm-Reference-Cited by-同舟云学术

Nuclear reactor reload using Quantum Inspired Algorithm

Published:2012-03 Issue: Volume:55 Page:40-48
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Nicolau Andressa dos Santos,Schirru Roberto,Monteiro de Lima Alan Miranda

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference35 articles.

1. Genetic algorithms and random keys for sequencing and optimization;Bean;ORSA Journal of Computing,1994

2. Parameterless evolutionary algorithm applied to the nuclear reload problem;Caldas;Annals of Nuclear Energy,2008

3. Chapot, J.L.C., 2000. Otimização Automática de Recargas de Reatores a Água Pressurizada Utilizando Algoritmos Genéticos, D.Sc. thesis, COPPE/UFRJ, Brazil.

4. A New approach to the use of Genetic algorithms to solve the Pressurized water Reactor’s fuel Management optimization problem;Chapot;Annals of Nuclear Energy,1999

5. Optimization of nuclear reactor core fuel reload using the new Quantum PBIL;Da Silva;Annals of Nuclear Energy,2011

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