Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520479" target="_blank" >RIV/70883521:28140/18:63520479 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-91253-0_45" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-91253-0_45</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91253-0_45" target="_blank" >10.1007/978-3-319-91253-0_45</a>
Alternative languages
Result language
angličtina
Original language name
Particle Swarm Optimization with Single Particle Repulsivity for Multi-modal Optimization
Original language description
This work presents a simple but effective modification of the velocity updat-ing formula in the Particle Swarm Optimization algorithm to improve the per-formance of the algorithm on multi-modal problems. The well-known issue of premature swarm convergence is addressed by a repulsive mechanism imple-mented on a single-particle level where each particle in the population is par-tially repulsed from a different particle. This mechanism manages to prolong the exploration phase and helps to avoid many local optima. The method is tested on well-known and typically used benchmark functions, and the results are further tested for statistical significance.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 10841
ISBN
978-331991252-3
ISSN
03029743
e-ISSN
neuvedeno
Number of pages
8
Pages from-to
486-494
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zakopane
Event date
Jun 3, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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