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Title: Self-Adaptive Differential Evolution with Hybrid Rules of Perturbation for Dynamic Optimization, Journal of Telecommunications and Information Technology, 2011, nr 4

Creator:

Kaczyński, Piotr ; Raciborski, Mikołaj ; Trojanowski, Krzysztof

Date:

2011, nr 4

Resource Type:

artykuł

Description:

In this paper an adaptive differential evolution approach for dynamic optimization problems is studied. A new benchmark suite Syringa is also presented. The suite allows to generate test-cases from a multiple number of dynamic optimization classes. Two dynamic benchmarks: Generalized Dynamic Benchmark Generator (GDBG) and Moving Peaks Benchmark (MPB) have been simulated in Syringa and in the presented research they were subject of the experimental research. Two versions of adaptive differential evolution approach, namely the jDE algorithm have been heavily tested: the pure version of jDE and jDE equipped with solutions mutated with a new operator. The operator uses a symmetric a-stable distribution variate for modification of the solution coordinates.

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:1196

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

dynamic optimization adaptive differential evolution symmetric a-stable distribution

Object collections:

Last modified:

May 22, 2013

In our library since:

May 22, 2013

Number of object content hits:

88

All available object's versions:

https://bc.itl.waw.pl/publication/1501

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Edition name Date
Trojanowski, Krzysztof; Raciborski, Mikołaj; Kaczyński, Piotr, Self-Adaptive Differential Evolution with Hybrid Rules of Perturbation for Dynamic Optimization, Journal of Telecommunications and Information Technology, 2011, nr 4 May 22, 2013
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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

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(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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