Abstract
In order to provide an integrated overview of the various developments in modern evolution strategies, this chapter provides a possible taxonomy and classification of the algorithms. Section 3.1 starts by providing the different development strands of evolution strategies. In Sect. 3.2, characteristics of modern evolution strategies are identified which can be used for defining the corresponding taxonomy.
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Notes
- 1.
Samples are tuples of the form \(\left (\mathbf{x},f(\mathbf{x})\right )\).
- 2.
lmm, nlmm, and p-sep-lmm are abbreviations for local meta model, new local meta model, and partially separable local meta model.
- 3.
For example, on a state-of-the-art computer (Intel Core i7-2600 3.4 GHz), Octave requires a few seconds for the eigendecomposition of a 1,000 × 1,000 matrix, and more than 3 min in the case of a 5,000 × 5,000 matrix.
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Bäck, T., Foussette, C., Krause, P. (2013). Taxonomy of Evolution Strategies. In: Contemporary Evolution Strategies. Natural Computing Series. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40137-4_3
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