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Learning stable mutation in (1, λ)ES evolutionary strategy
| Content Provider | Semantic Scholar |
|---|---|
| Author | Prȩtki, Przemys Ãlaw |
| Copyright Year | 2007 |
| Abstract | In this paper the concept of two-dimensional discrete spectral measure is introduced in the context of its application to real-valued evolutionary strategy (1, λ)ES. The notion of discrete spectral measure makes it possible to uniquely define a class of multivariate heavy-tailed distributions, that have received more and more attention of evolutionary optimization community, recently. In particular, an adaptation procedure known from the class of estimation of distribution algorithms (EDAs) is proposed. The effectiveness of the evolutionary strategy is tested by means of a set of popular benchmark functions. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://troja.uksw.edu.pl/pdf/kaeiog/KAEiOG2007.26.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
