Orthogonal Learning Firefly Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520429" target="_blank" >RIV/70883521:28140/18:63520429 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-92639-1_26" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-92639-1_26</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-92639-1_26" target="_blank" >10.1007/978-3-319-92639-1_26</a>
Alternative languages
Result language
angličtina
Original language name
Orthogonal Learning Firefly Algorithm
Original language description
In this paper, a proven technique, orthogonal learning, is combined with popular swarm metaheuristic Firefly Algorithm (FA). More precisely with its hybrid modification Firefly Particle Swarm Optimization (FFPSO). The performance of the developed algorithm is tested and compared with canonical FA and above mentioned FFPSO. Comparisons have been conducted on well-known CEC 2017 benchmark functions, and the results have been evaluated for statistical significance using Friedman rank test.
Czech name
—
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)
ISBN
978-331992638-4
ISSN
03029743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
315-326
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Oviedo
Event date
Jun 20, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443487900026