Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization
Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic
Document type Journal Article
Grant support
2101/2021
Faculty of Science, University of Hradec Kralove, Czech Republic
PubMed
34283111
PubMed Central
PMC8271451
DOI
10.3390/s21134567
PII: s21134567
Knihovny.cz E-resources
- Keywords
- optimization, optimization algorithm, optimization problem, population-based, teamwork,
- Publication type
- Journal Article MeSH
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.
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