Novelty Search in Particle Swarm Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F21%3A63544778" target="_blank" >RIV/70883521:28140/21:63544778 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9660131" target="_blank" >https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9660131</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSCI50451.2021.9660131" target="_blank" >10.1109/SSCI50451.2021.9660131</a>
Alternative languages
Result language
angličtina
Original language name
Novelty Search in Particle Swarm Optimization
Original language description
This paper presents a novel approach to implementing the Novelty search technique (introduced by Kenneth O. Stanley) into the Particle Swarm optimization algorithm (PSO). PSO is well-known for its impaired ability to operate in multidimensional spaces due to its inclination towards premature convergence and possible stagnation. This presented research aims to try various implementations of Novelty Search that could remove this inability and enhance the PSO algorithm. In total, we present five different modifications. The CEC 2020 single objective bound-constrained optimization benchmark testbed was used to evaluate the different Novelty Search-based modifications of the algorithm. All results were compared and tested for statistical significance against the original variant of PSO using the Friedman rank test. This work aims to increase understanding of implementing new approaches for population dynamics control, which are not driven purely by a gradient, and inspire other researchers working with different evolutionary computation methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings
ISBN
978-172819048-8
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway, New Jersey
Event location
Orlando
Event date
Dec 5, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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