Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving 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%3A50020255" target="_blank" >RIV/62690094:18470/23:50020255 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0950705122011042" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705122011042</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.knosys.2022.110011" target="_blank" >10.1016/j.knosys.2022.110011</a>
Alternative languages
Result language
angličtina
Original language name
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems
Original language description
In this paper, a new metaheuristic algorithm called the Coati Optimization Algorithm (COA) is introduced, which mimics coati behavior in nature. The fundamental idea of COA is the simulation of the two natural behaviors of coatis: (i) their behavior when attacking and hunting iguanas and (ii) their escape from predators. The implementation steps of COA are described and mathematically modeled in two phases of exploration and exploitation. COA performance is evaluated on fifty-one objective functions, including twenty-nine functions from the IEEE CEC-2017 test suite and twenty-two real-world applications from the IEEE CEC-2011 test suite. COA's results are compared to those of eleven well-known metaheuristic algorithms. The simulation results indicate that COA has an evident superiority over the compared algorithms by balancing exploration in global search and exploitation in local search, and is far more competitive. To assess the COA's effectiveness in real-world applications, the proposed approach is implemented on the IEEE CEC-2011 test functions and four practical optimization problems, which the simulation results indicate the high capability of COA in dealing with these types of optimization problems.
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
10102 - Applied mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
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
Knowledge-based systems
ISSN
0950-7051
e-ISSN
1872-7409
Volume of the periodical
259
Issue of the periodical within the volume
January
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
43
Pages from-to
"Article Number: 110011"
UT code for WoS article
000934113200001
EID of the result in the Scopus database
2-s2.0-85141454474