Osprey optimization algorithm: 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%2F23%3A50020225" target="_blank" >RIV/62690094:18470/23:50020225 - isvavai.cz</a>
Result on the web
<a href="https://www.frontiersin.org/articles/10.3389/fmech.2022.1126450/full" target="_blank" >https://www.frontiersin.org/articles/10.3389/fmech.2022.1126450/full</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fmech.2022.1126450" target="_blank" >10.3389/fmech.2022.1126450</a>
Alternative languages
Result language
angličtina
Original language name
Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
Original language description
This paper introduces a new metaheuristic algorithm named the Osprey Optimization Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental inspiration of OOA is the strategy of ospreys when hunting fish from the seas. In this hunting strategy, the osprey hunts the prey after detecting its position, then carries it to a suitable position to eat it. The proposed approach of OOA in two phases of exploration and exploitation is mathematically modeled based on the simulation of the natural behavior of ospreys during the hunting process. The performance of OOA has been evaluated in the optimization of twenty-nine standard benchmark functions from the CEC 2017 test suite. Furthermore, the performance of OOA is compared with the performance of twelve well-known metaheuristic algorithms. The simulation results show that the proposed OOA has provided superior performance compared to competitor algorithms by maintaining the balance between exploration and exploitation. In addition, the implementation of OOA on twenty-two real-world constrained optimization problems from the CEC 2011 test suite shows the high capability of the proposed approach in optimizing real-world 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
20301 - Mechanical engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Mechanical Engineering
ISSN
2297-3079
e-ISSN
2297-3079
Volume of the periodical
8
Issue of the periodical within the volume
January
Country of publishing house
CH - SWITZERLAND
Number of pages
43
Pages from-to
"Article Number: 1126450"
UT code for WoS article
000925502800001
EID of the result in the Scopus database
2-s2.0-85147388943