Memetic multiobjective particle swarm optimization-based radial basis function network for classification problems.

Highlights: [•] This paper presents a new multiobjective swarm hybrid learning algorithm, MPSON. [•] We also propose MGAN to comparison with MPSON based on performance measures. [•] The aim of our algorithms is to obtain simple and accurate RBF networks simultaneously. [•] We validate the algorithms on datasets with different features, samples and classes. [•] Results show MPSON is the best algorithm with the accuracy-complexity balance for RBF network design. [Copyright &y& Elsevier]