On evolution strategy optimization in dynamic environments

This work analyzes the behavior of evolution strategies and their current mutation variants on a simple rotating dynamic problem. The degree of rotation is a parameter for the involved dynamism which enables systematic examinations. As a result the complex covariance matrix adaptation proves to be superior with slow rotation but with increasing dynamism those adaptation mechanism seldom find the optimum where the simple uniform adaptation produces stable results. Moreover, this examination gives rise to question the principle of small mutation changes with high probablity in the dynamic context.