Time: 9h00, Wednesday, November 27, 2019
Location: Rom 302, Building A5, Institute of Mathematics

Abstract: In this work, we present an approach for adapting the population size in the CMA-ES. This method is based on tracking the information in each slot of S successive iterations to decide whether we should increase or decrease or keep the population size in the next slot of S iterations. The information which we collect is the non-decrease of the median of the objective function values. We will give some numerical investigations on some multi-modal functions. The numerical results on the BBOB Noiseless Testbed (https://github.com/numbbo/coco) finally show the efficiency of our approach.