This work presents particle swarm optimization (PSO) as an alternative method for solving an optimization problem that arises during nuclear reactor core design. The method is introduced and applied to a simplified core optimization problem found in literature. When compared with other evolutionary computation-based methods, PSO performs better. Moreover, PSO presents easier modeling and demands less computational effort in the optimization process. The obtained results are shown and discussed.