This paper derives a population sizing model for standard Evolution Strategies (ES) in highly
multimodal fitness landscapes with exponentially many local optima. The Rastrigin …

Non-elitist evolutionary algorithms (EAs) can be beneficial in optimisation of noisy and or
rugged fitness landscapes. However, this benefit can only be realised if the parameters of …

The highly multimodal Rastrigin test function is analyzed by deriving a new aggregated
progress rate measure. It is derived as a function of the residual distance to the optimizer by …

A model is presented that allows for the calculation of the success probability by which a
vanilla Evolution Strategy converges to the global optimizer of the Rastrigin test function. As …

This paper describes the algorithm's engineering of a covariance matrix self-adaptation
evolution strategy (CMSA-ES) for solving a mixed linear/nonlinear constrained optimization …

The mutation strength $(\sigma) $ adaptation of a multi-recombinative self-adapting
Evolution Strategy is investigated on the Rastrigin test function by theoretical and …

Neuroevolution represents a growing research field in Artificial and Computational
Intelligence. The adjustment of the network weights and the topology is usually based on a …

The optimization behavior of the self-adaptation (SA) evolution strategy (ES) with
intermediate multi-recombination [(μ/μ I, λ)-σSA-ES] using isotropic mutations is investigated …

A steady state analysis of the optimization quality of a classical self-adaptive evolution
strategy (ES) on a class of robust optimization problems is presented. A novel technique for …

The self-adaptive, multi-recombinative (μ/μI, λ)-ES (Evolution Strategy) is investigated on the
highly multimodal Rastrigin test function by theoretical and experimental means. The …