Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern goshawk during prey hunting. This hunting strateg...
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| Published in | IEEE access Vol. 9; pp. 162059 - 162080 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern goshawk during prey hunting. This hunting strategy includes two phases of prey identification and the tail and chase process. The various steps of the proposed NGO algorithm are described and then its mathematical modeling is presented for use in solving optimization problems. The ability of NGO to solve optimization problems is evaluated on sixty-eight different objective functions. To analyze the quality of the results, the proposed NGO algorithm is compared with eight well-known algorithms, particle swarm optimization, genetic algorithm, teaching-learning based optimization, gravitational search algorithm, grey wolf optimizer, whale optimization algorithm, tunicate swarm algorithm, and marine predators algorithm. In addition, for further analysis, the proposed algorithm is also employed to solve four engineering design problems. The results of simulations and experiments show that the proposed NGO algorithm, by creating a proper balance between exploration and exploitation, has an effective performance in solving optimization problems and is much more competitive than similar algorithms. |
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| AbstractList | Optimization algorithms are one of the effective stochastic methods in solving optimization problems. In this paper, a new swarm-based algorithm called Northern Goshawk Optimization (NGO) algorithm is presented that simulates the behavior of northern goshawk during prey hunting. This hunting strategy includes two phases of prey identification and the tail and chase process. The various steps of the proposed NGO algorithm are described and then its mathematical modeling is presented for use in solving optimization problems. The ability of NGO to solve optimization problems is evaluated on sixty-eight different objective functions. To analyze the quality of the results, the proposed NGO algorithm is compared with eight well-known algorithms, particle swarm optimization, genetic algorithm, teaching-learning based optimization, gravitational search algorithm, grey wolf optimizer, whale optimization algorithm, tunicate swarm algorithm, and marine predators algorithm. In addition, for further analysis, the proposed algorithm is also employed to solve four engineering design problems. The results of simulations and experiments show that the proposed NGO algorithm, by creating a proper balance between exploration and exploitation, has an effective performance in solving optimization problems and is much more competitive than similar algorithms. |
| Author | Trojovsky, Pavel Hubalovsky, Stepan Dehghani, Mohammad |
| Author_xml | – sequence: 1 givenname: Mohammad orcidid: 0000-0002-4243-9658 surname: Dehghani fullname: Dehghani, Mohammad organization: Department of Mathematics, Faculty of Science, University of Hradec Králové, Hradec Králové, Czech Republic – sequence: 2 givenname: Stepan surname: Hubalovsky fullname: Hubalovsky, Stepan organization: Department of Applied Cybernetics, Faculty of Science, University of Hradec Králové, Hradec Králové, Czech Republic – sequence: 3 givenname: Pavel orcidid: 0000-0001-8992-125X surname: Trojovsky fullname: Trojovsky, Pavel email: pavel.trojovsky@uhk.cz organization: Department of Mathematics, Faculty of Science, University of Hradec Králové, Hradec Králové, Czech Republic |
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| SubjectTerms | Algorithms Design engineering Exploitation exploration Games Genetic algorithms Hunting Linear programming Machine learning Mathematical models northern goshawk Optimization optimization problem Particle swarm optimization Predator-prey simulation Search algorithms Search problems Sociology Statistics |
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| Title | Northern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems |
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