Serval Optimization Algorithm: A New Bio-Inspired Approach for Solving Optimization Problems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019891" target="_blank" >RIV/62690094:18470/22:50019891 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2313-7673/7/4/204" target="_blank" >https://www.mdpi.com/2313-7673/7/4/204</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/biomimetics7040204" target="_blank" >10.3390/biomimetics7040204</a>

Result language

angličtina

Original language name

Serval Optimization Algorithm: A New Bio-Inspired Approach for Solving Optimization Problems

Original language description

This article introduces a new metaheuristic algorithm called the Serval Optimization Algorithm (SOA), which imitates the natural behavior of serval in nature. The fundamental inspiration of SOA is the serval’s hunting strategy, which attacks the selected prey and then hunts the prey in a chasing process. The steps of SOA implementation in two phases of exploration and exploitation are mathematically modeled. The capability of SOA in solving optimization problems is challenged in the optimization of thirty-nine standard benchmark functions from the CEC 2017 test suite and CEC 2019 test suite. The proposed SOA approach is compared with the performance of twelve well-known metaheuristic algorithms to evaluate further. The optimization results show that the proposed SOA approach, due to the appropriate balancing exploration and exploitation, is provided better solutions for most of the mentioned benchmark functions and has superior performance compared to competing algorithms. SOA implementation on the CEC 2011 test suite and four engineering design challenges shows the high efficiency of the proposed approach in handling real-world optimization applications.

Czech name

—

Czech description

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Type

J_imp - 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

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Biomimetics

ISSN

2313-7673

e-ISSN

2313-7673

Volume of the periodical

7

Issue of the periodical within the volume

4

Country of publishing house

CH - SWITZERLAND

Number of pages

47

Pages from-to

"Article Number: 204"

UT code for WoS article

000902285000001

EID of the result in the Scopus database

2-s2.0-85144955988