Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization
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 i...
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| Published in | Sensors (Basel, Switzerland) Vol. 21; no. 13; p. 4567 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
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03.07.2021
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| Abstract | 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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| AbstractList | 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. 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.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. |
| Author | Trojovský, Pavel Dehghani, Mohammad |
| AuthorAffiliation | 1 Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 71557-13876, Iran; m.dehghani@sutech.ac.ir 2 Department of Mathematics, Faculty of Science, University of Hradec Králové, 500 03 Hradec Králové, Czech Republic |
| AuthorAffiliation_xml | – name: 1 Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz 71557-13876, Iran; m.dehghani@sutech.ac.ir – name: 2 Department of Mathematics, Faculty of Science, University of Hradec Králové, 500 03 Hradec Králové, Czech Republic |
| Author_xml | – sequence: 1 givenname: Mohammad surname: Dehghani fullname: Dehghani, Mohammad – sequence: 2 givenname: Pavel orcidid: 0000-0001-8992-125X surname: Trojovský fullname: Trojovský, Pavel |
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| Cites_doi | 10.3390/app11031286 10.1007/978-981-13-2414-7_5 10.1016/j.engappai.2020.103541 10.1016/j.advengsoft.2013.12.007 10.1007/BF00140399 10.1007/s00366-019-00826-w 10.1016/j.advengsoft.2016.01.008 10.1016/j.knosys.2021.106926 10.1016/j.ins.2009.03.004 10.1016/j.eswa.2020.113377 10.3390/e23040491 10.3390/app10217683 10.1109/4235.771163 10.1016/j.cad.2010.12.015 10.1162/106365600568257 10.1109/3477.484436 10.3390/app11104382 |
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| Title | Teamwork Optimization Algorithm: A New Optimization Approach for Function Minimization/Maximization |
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