Evolution strategies with cumulative step length
adaptation on the noisy parabolic ridge |
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Authors: | Dirk V Arnold Hans-Georg Beyer |
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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 |
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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. |
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Keywords: | cumulative step length adaptation evolution strategies evolutionary computation noise optimisation ridge functions |
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