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.
