Novel Approaches on Reactor Core Design Optimization Problem

Marco André Abud Kappel; Ivan Napoleão Bastos; Caio Lucas dos Santos Souza; Gustavo Barbosa Libotte; Roberto Pinheiro Domingos; Gustavo Mendes Platt

doi:10.14295/vetor.v31i1.13498

Authors

Marco André Abud Kappel Cefet/RJ https://orcid.org/0000-0002-2004-7557
Ivan Napoleão Bastos Instituto Politécnico, Universidade do Estado do Rio de Janeiro https://orcid.org/0000-0001-7611-300X
Caio Lucas dos Santos Souza Instituto Politécnico, Universidade do Estado do Rio de Janeiro https://orcid.org/0000-0002-6902-7098
Gustavo Barbosa Libotte Instituto Politécnico, Universidade do Estado do Rio de Janeiro https://orcid.org/0000-0002-4583-6026
Roberto Pinheiro Domingos Instituto Politécnico, Universidade do Estado do Rio de Janeiro https://orcid.org/0000-0001-5068-7312
Gustavo Mendes Platt Escola de Química e Alimentos, Universidade Federal do Rio Grande, Santo Antônio da Patrulha, Brasil https://orcid.org/0000-0003-0506-2561

DOI:

https://doi.org/10.14295/vetor.v31i1.13498

Keywords:

Nuclear reactor core design, Optimization, Differential Evolution, Invasive Weed Optimization, Many-Objective Evolutionary Algorithm

Abstract

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.

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