Online selection of CMA-ES variants
Diederick Vermetten, Sander van Rijn, Thomas Bäck, Carola Doerr · Proceedings of the Genetic and Evolutionary Computation Conference · 2019
In the field of evolutionary computation, one of the most challenging topics is algorithm selection. Knowing which heuristics to use for which optimization problem is key to obtaining high-quality solutions. We aim to extend this research topic by taking a first step towards a selection method for adaptive CMA-ES algorithms. We build upon the theoretical work done by van Rijn et al. [PPSN'18], in which the potential of switching between different CMA-ES variants was quantified in the context of a modular CMA-ES framework.