An ensemble co-evolutionary based algorithm for classification problems

In this paper, the authors propose a coevolutionary algorithm using an ensemble learning approach (E-SOCA) to simultaneously solve both feature subset selection and optimal classifier design. Unlike previous studies where each population retains only one best individual (Elite) after co-evolution, in this study, an elite community will be stored and calculated together through an ensemble learning algorithm to produce the finally classified result.