Parameter-less Evolutionary Portfolio: First Experiments

A portfolio of parameter-less evolutionary algorithms called Parameter-less Evolutionary Portfolio is proposed. This portfolio implements a heuristic that performs adaptive selection of parameter-less evolutionary algorithms in accordance with performance criteria that are measured during running time. Initial experiments show that the parameter-less portfolio can solve various classes of problems without the need for any prior parameter setting technique and with an increase in computational effort that can be considered acceptable.