Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

IEEE Access

ISSN

2169-3536

e-ISSN

2169-3536

Svazek periodika

10

Číslo periodika v rámci svazku

prosinec

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

36

Strana od-do

132396-132431

Kód UT WoS článku

000905722500001

EID výsledku v databázi Scopus

2-s2.0-85144760303