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Title: Improving Population-Based Algorithms with Fitness Deterioration, Journal of Telecommunications and Information Technology, 2011, nr 4

Creator:

Schaefer, Robert ; Wolny, Adrian

Date:

2011, nr 4

Resource Type:

artykuł

Description:

This work presents a new hybrid approach for supporting sequential niching strategies called Cluster Supported Fitness Deterioration (CSFD). Sequential niching is one of the most promising evolutionary strategies for analyzing multimodal global optimization problems in the continuous domains embedded in the vector metric spaces. In each iteration CSFD performs the clustering of the random sample by OPTICS algorithm and then deteriorates the fitness on the area occupied by clusters. The selection pressure pushes away the next-step sample (population) from the basins of attraction of minimizers already recognized, speeding up finding the new ones. The main advantages of CSFD are low memory an computational complexity even in case of large dimensional problems and high accuracy of deterioration obtained by the flexible cluster definition delivered by OPTICS. The paper contains the broad discussion of niching strategies, detailed definition of CSFD and the series of the simple comparative tests.

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:1197

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

clustering basin of attraction fitness deterioration genetic algorithm sequential niching OPTICS

Object collections:

Last modified:

May 22, 2013

In our library since:

May 22, 2013

Number of object content hits:

133

All available object's versions:

https://bc.itl.waw.pl/publication/1502

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Edition name Date
Wolny, Adrian; Schaefer, Robert, Improving Population-Based Algorithms with Fitness Deterioration, 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

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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