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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
energy
Differential evolution algorithms applied to nuclear reactor core design
Annals of Nuclear Energy, Volume 36, No. 8, Year 2009
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Description
The differential evolution algorithm (DE) and a recently introduced variant, differential evolution with random localizations (DERL), are applied for the first time to a nuclear engineering optimization problem. This problem was previously solved with genetic algorithms, particle swarm optimization and Metropolis algorithms, and consists in adjusting several reactor cell parameters, such as dimensions, enrichment and materials, in order to minimize the average peak-factor in a three-enrichment-zone reactor, considering restrictions on the average thermal flux, criticality and sub-moderation. The results obtained by DE and DERL are compared against the published ones and both algorithms perform well, thus demonstrating their potential for other applications. © 2009 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Sacco, Wagner Figueiredo
Brazil, Rio de Janeiro
Universidade do Estado do Rio de Janeiro
Henderson, Nélio
Brazil, Rio de Janeiro
Universidade do Estado do Rio de Janeiro
Rios-Coelho, A. C.
Brazil, Rio de Janeiro
Universidade do Estado do Rio de Janeiro
Ali, M. Montaz
South Africa, Johannesburg
University of the Witwatersrand
Pereira, C. M.N.A.
Brazil, Rio de Janeiro
Comissão Nacional de Energia Nuclear Rio de Janeiro
Statistics
Citations: 31
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1016/j.anucene.2009.05.007
ISSN:
03064549
Research Areas
Cancer
Genetics And Genomics