Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F21%3A50018172" target="_blank" >RIV/62690094:18470/21:50018172 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/21/13/4567" target="_blank" >https://www.mdpi.com/1424-8220/21/13/4567</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s21134567" target="_blank" >10.3390/s21134567</a>

Result language

angličtina

Original language name

Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization

Original language description

Population-based optimization algorithms are one of the most widely used and popular methods in solving optimization problems. In this paper, a new population-based optimization algorithm called the Teamwork Optimization Algorithm (TOA) is presented to solve various optimization problems. The main idea in designing the TOA is to simulate the teamwork behaviors of the members of a team in order to achieve their desired goal. The TOA is mathematically modeled for usability in solving optimization problems. The capability of the TOA in solving optimization problems is evaluated on a set of twenty-three standard objective functions. Additionally, the performance of the proposed TOA is compared with eight well-known optimization algorithms in providing a suitable quasi-optimal solution. The results of optimization of objective functions indicate the ability of the TOA to solve various optimization problems. Analysis and comparison of the simulation results of the optimization algorithms show that the proposed TOA is superior and far more competitive than the eight compared algorithms.

Czech name

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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

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

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

—

Volume of the periodical

21

Issue of the periodical within the volume

13

Country of publishing house

CH - SWITZERLAND

Number of pages

26

Pages from-to

"Article Number: 4567"

UT code for WoS article

000671244600001

EID of the result in the Scopus database

2-s2.0-85108947317