Performance of the Bison Algorithm on Benchmark IEEE CEC 2017
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520482" target="_blank" >RIV/70883521:28140/18:63520482 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-91189-2_44" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-91189-2_44</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-91189-2_44" target="_blank" >10.1007/978-3-319-91189-2_44</a>
Alternative languages
Result language
angličtina
Original language name
Performance of the Bison Algorithm on Benchmark IEEE CEC 2017
Original language description
This paper studies the performance of a newly developed optimization algorithm inspired by the behavior of bison herds: the Bison Algorithm. The algorithm divides its population into two groups. The exploiting group simulates the swarming behavior of bison herds endangered by predators. The exploring group systematically runs through the search space in order to avoid local optima. At the beginning of the paper, the Bison Algorithm is introduced. Then the performance of the algorithm is compared to the Particle Swarm Optimization and the Cuckoo Search on the set of 30 benchmark functions of IEEE CEC 2017. Finally, the outcome of the experiments is discussed.
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
Advances in Intelligent Systems and Computing, Volume 764
ISBN
978-331991188-5
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
445-454
Publisher name
Springer Verlag
Place of publication
Berlín
Event location
Zlín
Event date
Apr 25, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000460247600044