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Evolution strategies with cumulative step length adaptation on the noisy parabolic ridge
Authors:Dirk V Arnold  Hans-Georg Beyer
Affiliation:(1) Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada, B3H 1W5;(2) Department of Computer Science, Research Center Process and Product Engineering, Vorarlberg University of Applied Sciences, Hochschulstr. 1, A-6850 Dornbirn, Austria
Abstract:This paper presents an analysis of the performance of the (μ/μ,λ)-ES with isotropically distributed mutations and cumulative step length adaptation on the noisy parabolic ridge. Several forms of dependency of the noise strength on the distance from the ridge axis are considered. Closed form expressions are derived that describe the mutation strength and the progress rate of the strategy in high-dimensional search spaces. It is seen that as for the sphere model, larger levels of noise present lead to cumulative step length adaptation generating increasingly inadequate mutation strengths, and that the problem can be ameliorated to some degree by working with larger populations.
Keywords:cumulative step length adaptation  evolution strategies  evolutionary computation  noise  optimisation  ridge functions
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