Advanced search ?

Object

Download

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:

oai:bc.itl.waw.pl:1197 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2011.4.1174

ISSN:

1509-4553

eISSN:

1899-8852

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:

Aug 29, 2024

In our library since:

May 22, 2013

Number of object content hits:

146

All available object's versions:

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

Show description in RDF format:

RDF

Show description in OAI-PMH format:

OAI-PMH

Edition name Date
Wolny, Adrian; Schaefer, Robert, Improving Population-Based Algorithms with Fitness Deterioration, Journal of Telecommunications and Information Technology, 2011, nr 4 Aug 29, 2024

Objects Similar
Recognizing Sets in Evolutionary Multiobjective Optimization, Journal of Telecommunications and Information Technology, 2012, nr 1

Gajda-Zagórska, Ewa

2012, nr 1
artykuł
2023, nr 1, JTIT-artykuły
2023, nr 1, JTIT-artykuły
Beam Pattern Optimization Via Unequal Ascending Clusters, Journal of Telecommunications and Information Technology, 2023, nr 1

Mohammed, Jafar Ramadhan Abdulqader, Ahmed Jameel Ali, Yessar E. Mohammad

2023, nr 1
artykuł
Band energy approach and nonlinear optical phenomena in large-sized nanoparticles, Journal of Telecommunications and Information Technology, 2006, nr 4

Kityk, Ivan V.

2006, nr 4
artykuł
Optimization of Spectrum Sensing Parameters in Cognitive Radio Using Adaptive Genetic Algorithm, Journal of Telecommunications and Information Technology, 2017, nr 1

Roy, Jibendu Sekhar Bhattacharya, Partha Pratim Dutta, Swaham Chatterjee, Subhajit

2017, nr 1
artykuł
Relay-assisted WDM-FSO System: A Better Solution for Communication under Rain and Haze Weather Conditions, Journal of Telecommunications and Information Technology, 2017, nr 4

Kaur, Pardeep Singh, Preeti Dayal, Navneet

2017, nr 4
artykuł
Setting an Upper-Wavelength Limit to the Supercontinuum Generated in a Photonic Crystal Fibre, Journal of Telecommunications and Information Technology, 2009, nr 1

Degiorgio, Vittorio Zghal, Mourad Cherif, Rim Tartara, Luca

2009, nr 1
artykuł
Genetic Algorithm for Combined Speaker and Speech Recognition using Deep Neural Networks, Journal of Telecommunications and Information Technology, 2018, nr 2

Srivastava, Mohit Kaur, Gurpreet Kumar, Amod

2018, nr 2
artykuł
Joint Optimization of Sum and Difference Patterns with a Common Weight Vector Using the Genetic Algorithm, Journal of Telecommunications and Information Technology, 2022, nr 3

Mohammed, Jafar Ramadhan Aljaf, Duaa Alyas

2022, nr 3
artykuł
More
×

Citation

Citation style:

Contact details

Address

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Visit us!

This page uses 'cookies'. More information