Use este identificador para citar ou linkar para este item: http://carpedien.ien.gov.br:8080/handle/ien/1696
Tipo: conferenceObject
Título: The Great Deluge ALgorithm Applied to a Nuclear Reactor Core Design Optimization Problem
Autor(es): SACCO, Wagner Figueiredo
OLIVEIRA, Cassiano R.E. de
PEREIRA, Cláudio Márcio do Nascimento Abreu
Resumo: The Great Deluge Algorithm (GDA) is a local search algorithm introduced by Dueck. It is an analogy with a flood: the “water level” rises continuously and the proposed solution must lie above the “surface” in order to survive. The crucial parameter is the “rain speed”, which controls convergence of the algorithm similarly to Simulated Annealing’s annealing schedule. This algorithm is applied to the reactor core design optimization problem, which consists in adjusting several reactor cell parameters, such as dimensions, enrichment and materials, in order to minimize the average peak-factor in a 3-enrichment-zone reactor, considering restrictions on the average thermal flux, criticality and sub-moderation. This problem was previously attacked by the canonical genetic algorithm (GA) and by a niching genetic algorithm (NGA). NGAs were designed to force the genetic algorithm to maintain a heterogeneous population throughout the evolutionary process, avoiding the phenomenon known as genetic drift, where all the individuals converge to a single solution. The results obtained by the Great Deluge Algorithm are compared to those obtained by both algorithms mentioned above. The three algorithms are submitted to the same computational effort and GDA reaches the best results, showing its potential for other applications in the nuclear engineering field as, for instance, the nuclear core reload optimization problem. One of the great advantages of this algorithm over the GA is that it does not require special operators for discrete optimization.
Palavras-chave: Deluge Algorithm
Design Optimization
Nuclear Reactor
Idioma: eng
País: Brasil
Editor: Instituto de Engenharia Nuclear
Sigla da Instituição: IEN
Tipo de Acesso: openAccess
URI: http://carpedien.ien.gov.br:8080/handle/ien/1696
Data do documento: 2005
Aparece nas coleções:Desenvolvimento de Tecnologia para Sistemas Complexos - Trabalhos de Congresso

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