Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019990" target="_blank" >RIV/62690094:18470/22:50019990 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9989374" target="_blank" >https://ieeexplore.ieee.org/document/9989374</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2022.3229964" target="_blank" >10.1109/ACCESS.2022.3229964</a>
Alternative languages
Result language
angličtina
Original language name
Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems
Original language description
In this article, a new metaheuristic algorithm called Siberian Tiger Optimization (STO) is designed to deal with optimization applications. The fundamental inspiration of STO is the imitation of the natural behavior of the Siberian tiger during hunting and fighting. First, the whole design of STO and its mathematical model’s two phases are explained. Then, the efficiency of the proposed STO approach in optimization tasks is evaluated on sets of various standard benchmark functions from the CEC 2017 test suite. In addition, the CEC 2011 test suite and four engineering design problems are employed to analyze the ability of STO to handle real-world applications. Finally, the quality of the optimization results obtained from the proposed STO approach is compared with the performance of twelve well-known metaheuristic algorithms. The simulation results show that STO, with its high power in exploration and exploitation and creating a balance between them, has provided better results than competitor algorithms and has superior performance in handling optimization applications
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
10
Issue of the periodical within the volume
prosinec
Country of publishing house
US - UNITED STATES
Number of pages
36
Pages from-to
132396-132431
UT code for WoS article
000905722500001
EID of the result in the Scopus database
2-s2.0-85144760303