Dimension-Wise Particle Swarm Optimization: Evaluation and Comparative Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F21%3A50018182" target="_blank" >RIV/62690094:18470/21:50018182 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2076-3417/11/13/6201" target="_blank" >https://www.mdpi.com/2076-3417/11/13/6201</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/app11136201" target="_blank" >10.3390/app11136201</a>

Result language

angličtina

Original language name

Dimension-Wise Particle Swarm Optimization: Evaluation and Comparative Analysis

Original language description

This article evaluates a recently introduced algorithm that adjusts each dimension in particle swarm optimization semi-independently and compares it with the traditional particle swarm optimization. In addition, the comparison is extended to differential evolution and genetic algorithm. This presented comparative study provides a clear exposition of the effects introduced by the proposed algorithm. Performance of all evaluated optimizers is evaluated based on how well they perform in finding the global minima of 24 multi-dimensional benchmark functions, each having 7, 14, or 21 dimensions. Each algorithm is put through a session of self-tuning with 100 iterations to ensure convergence of their respective optimization parameters. The results confirm that the new variant is a significant improvement over the traditional algorithm. It also obtained notably better results than differential evolution when applied to problems with high-dimensional spaces relative to the number of available particles.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

APPLIED SCIENCES-BASEL

ISSN

2076-3417

e-ISSN

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Volume of the periodical

11

Issue of the periodical within the volume

13

Country of publishing house

CH - SWITZERLAND

Number of pages

31

Pages from-to

"Article Number: 6201"

UT code for WoS article

000672290200001

EID of the result in the Scopus database

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