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Title: Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms, Journal of Telecommunications and Information Technology, 2011, nr 4

Creator:

Prętki, Przemysław ; Obuchowicz, Andrzej

Date:

2011, nr 4

Resource Type:

artykuł

Description:

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.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1195

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

evolutionary algorithms mutation parameters adaptation heavy-tailed distributions discrete spectral measure

Object collections:

Last modified:

May 20, 2013

In our library since:

May 20, 2013

Number of object content hits:

111

All available object's versions:

https://bc.itl.waw.pl/publication/1500

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Edition name Date
Obuchowicz, Andrzej; Prętki, Przemysław, Self-Adaptive Stable Mutation Based on Discrete Spectral Measure for Evolutionary Algorithms, Journal of Telecommunications and Information Technology, 2011, nr 4 May 20, 2013

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