Feature selection for domain adaptation using complexity measures and swarm intelligence

•Particle Swarm Optimization can be used to perform feature selection for domain adaptation.•It has been previously applied using classifiers to evaluate the goodness of subsets of features.•We explore a novel option: using complexity measures instead of classifiers.•We compare both methods in terms of performance, speed and size of the resulting set of features.