Novel Approaches on Reactor Core Design Optimization Problem
Autor: | Marco André Abud Kappel, Ivan Napoleão Bastos, Caio Lucas dos Santos Souza, Gustavo Barbosa Libotte, Roberto Pinheiro Domingos, Gustavo Mendes Platt |
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Jazyk: | English<br />Portuguese |
Rok vydání: | 2021 |
Předmět: | |
Zdroj: | Vetor, Vol 31, Iss 1 (2021) |
Druh dokumentu: | article |
ISSN: | 0102-7352 2358-3452 |
Popis: | Nuclear reactor core design is an optimization problem concerning the pertinent choice of a series of parameters that must obey some technical and physical constraints. Several methods have been applied in literature in order to obtain the optimal solution for this problem. The present work aims to provide a comparative analysis of two optimization methodologies in the reactor core design, as follows: Invasive Weed Optimization and Many-Objective Evolutionary Algorithm. |
Databáze: | Directory of Open Access Journals |
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