Name
Abstract | ||
|---|---|---|
In this paper the concept of multidimensional discrete spectral measure is introduced in the context of its application to real-valued evolutionary algorithms. The notion of discrete spectral measure makes possible to uniquely define a class of multivariate heavy-tailed distributions, that have received more and more attention of evolutionary optimization commynity, recently. Simple sample illustrates advantages of such approach. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13232-2_22 | ICAISC (2) |
Keywords | Field | DocType |
stable mutation,evolutionary optimization commynity,discrete spectral measure,simple sample,multidimensional discrete spectral measure,evolutionary algorithm,multivariate heavy-tailed distribution,real-valued evolutionary algorithm,heavy tailed distribution | Mathematical optimization,Spectral measure,Evolutionary algorithm,Global optimization algorithm,Computer science,Multivariate statistics,Simple sample,Multivariate random variable,Stable distribution | Conference |
Volume | ISSN | ISBN |
6114 | 0302-9743 | 3-642-13231-6 |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrzej Obuchowicz | 1 | 76 | 10.10 |
| Przemysław Pretki | 2 | 21 | 3.26 |