Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520431" target="_blank" >RIV/70883521:28140/18:63520431 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-91253-0_38" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-91253-0_38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91253-0_38" target="_blank" >10.1007/978-3-319-91253-0_38</a>
Alternative languages
Result language
angličtina
Original language name
Multi-swarm Optimization Algorithm Based on Firefly and Particle Swarm Optimization Techniques
Original language description
In this paper, the two hybrid swarm-based metaheuristic algorithms are tested and compared. The first hybrid is already existing Firefly Particle Swarm Optimization (FFPSO), which is based, as the name suggests, on Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). The secondly proposed hybrid is an algorithm using the multi-swarm method to merge FA and PSO. The performance of our developed algorithm is tested and compared with the FFPSO and canonical FA. Comparisons have been conducted on five selected benchmark functions, and the results have been evaluated for statistical significance using Friedman rank test.
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
12
Pages from-to
405-416
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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