- Tytuł:
- Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms
- Autorzy:
-
Obuchowicz, A.
Prętki, P. - Tematy:
-
discrete spectral measure
evolutionary algorithms
heavy-tailed distributions
mutation parameters adaptation - Pokaż więcej
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Powiązania:
- https://bibliotekanauki.pl/articles/308441.pdf Link otwiera się w nowym oknie
- Opis:
- In this paper, the concept of a multidimensional discrete spectral measure is introduced in the context of its application to the real-valued evolutionary algorithms. The notion of a discrete spectral measure makes it possible to uniquely define a class of multivariate heavy-tailed distributions, that have recently received substantial attention of the evolutionary optimization community. In particular, an adaptation procedure known from the distribution estimation algorithms (EDAs) is considered and the resulting estimated distribution is compared with the optimally selected referential distribution.
- Dostawca treści:
- Biblioteka Nauki
Artykuł