This paper presents first results of an analysis of the σ-self-adaptation mechanism on the sharp ridge for non-recombinative (1, λ) evolution strategies (ES). To analyze the ES's evolution, we consider the so-called evolution equations which describe the one-generation change. Neglecting stochastic perturbations and considering only the mean value dynamics, we will investigate possible causes why self-adaptation can fail on the sharp ridge. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Beyer, H. G., & Meyer-Nieberg, S. (2006). Self-adaptation on the ridge function class: First results for the sharp ridge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4193 LNCS, pp. 72–81). Springer Verlag. https://doi.org/10.1007/11844297_8
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