@article {pub3278,
	title = {Towards a steady-state analysis of an evolution strategy on a robust optimization problem with noise-induced multi-modality},
	author = {Hans-Georg Beyer AND Bernhard Sendhoff},
	year = {2017},
	abstract = {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 calculating progress rates for non-quadratic noisy fitness
landscapes is presented. This technique yields asymptotically exact results in the infinite population size limit. This technique is
applied to a class of functions with noise-induced multi-modality. The resulting progress rate formulas are compared with highprecision
experiments. The influence of fitness resampling is considered and the steady state behavior of the ES is derived
and compared with simulations. The questions whether one should sample and average fitness values and how to choose
the truncation ratio are discussed giving rise to further reseach perspectives.},
	publisher = {IEEE Press},
	journal = {IEEE Transactions on Evolutionary Computation}
}