Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems
Numerous optimization problems have been defined in different disciplines of science that must be optimized using effective techniques. Optimization algorithms are an effective and widely used method of solving optimization problems that are able to provide suitable solutions for optimization proble...
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2021
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oai:doaj.org-article:86e91d759b334555b323f275c8a3bac32021-11-11T18:21:24ZSnow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems10.3390/math92128322227-7390https://doaj.org/article/86e91d759b334555b323f275c8a3bac32021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2832https://doaj.org/toc/2227-7390Numerous optimization problems have been defined in different disciplines of science that must be optimized using effective techniques. Optimization algorithms are an effective and widely used method of solving optimization problems that are able to provide suitable solutions for optimization problems. In this paper, a new nature-based optimization algorithm called Snow Leopard Optimization Algorithm (SLOA) is designed that mimics the natural behaviors of snow leopards. SLOA is simulated in four phases including travel routes, hunting, reproduction, and mortality. The different phases of the proposed algorithm are described and then the mathematical modeling of the SLOA is presented in order to implement it on different optimization problems. A standard set of objective functions, including twenty-three functions, is used to evaluate the ability of the proposed algorithm to optimize and provide appropriate solutions for optimization problems. Also, the optimization results obtained from the proposed SLOA are compared with eight other well-known optimization algorithms. The optimization results show that the proposed SLOA has a high ability to solve various optimization problems. Also, the analysis and comparison of the optimization results obtained from the SLOA with the other eight algorithms shows that the SLOA is able to provide more appropriate quasi-optimal solutions and closer to the global optimal, and with better performance, it is much more competitive than similar algorithms.Petr CoufalŠtěpán HubálovskýMarie HubálovskáZoltan BaloghMDPI AGarticleoptimizationoptimization algorithmnature-based algorithmsnow leopardoptimization problemMathematicsQA1-939ENMathematics, Vol 9, Iss 2832, p 2832 (2021) |
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optimization optimization algorithm nature-based algorithm snow leopard optimization problem Mathematics QA1-939 |
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optimization optimization algorithm nature-based algorithm snow leopard optimization problem Mathematics QA1-939 Petr Coufal Štěpán Hubálovský Marie Hubálovská Zoltan Balogh Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
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Numerous optimization problems have been defined in different disciplines of science that must be optimized using effective techniques. Optimization algorithms are an effective and widely used method of solving optimization problems that are able to provide suitable solutions for optimization problems. In this paper, a new nature-based optimization algorithm called Snow Leopard Optimization Algorithm (SLOA) is designed that mimics the natural behaviors of snow leopards. SLOA is simulated in four phases including travel routes, hunting, reproduction, and mortality. The different phases of the proposed algorithm are described and then the mathematical modeling of the SLOA is presented in order to implement it on different optimization problems. A standard set of objective functions, including twenty-three functions, is used to evaluate the ability of the proposed algorithm to optimize and provide appropriate solutions for optimization problems. Also, the optimization results obtained from the proposed SLOA are compared with eight other well-known optimization algorithms. The optimization results show that the proposed SLOA has a high ability to solve various optimization problems. Also, the analysis and comparison of the optimization results obtained from the SLOA with the other eight algorithms shows that the SLOA is able to provide more appropriate quasi-optimal solutions and closer to the global optimal, and with better performance, it is much more competitive than similar algorithms. |
format |
article |
author |
Petr Coufal Štěpán Hubálovský Marie Hubálovská Zoltan Balogh |
author_facet |
Petr Coufal Štěpán Hubálovský Marie Hubálovská Zoltan Balogh |
author_sort |
Petr Coufal |
title |
Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
title_short |
Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
title_full |
Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
title_fullStr |
Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
title_full_unstemmed |
Snow Leopard Optimization Algorithm: A New Nature-Based Optimization Algorithm for Solving Optimization Problems |
title_sort |
snow leopard optimization algorithm: a new nature-based optimization algorithm for solving optimization problems |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/86e91d759b334555b323f275c8a3bac3 |
work_keys_str_mv |
AT petrcoufal snowleopardoptimizationalgorithmanewnaturebasedoptimizationalgorithmforsolvingoptimizationproblems AT stepanhubalovsky snowleopardoptimizationalgorithmanewnaturebasedoptimizationalgorithmforsolvingoptimizationproblems AT mariehubalovska snowleopardoptimizationalgorithmanewnaturebasedoptimizationalgorithmforsolvingoptimizationproblems AT zoltanbalogh snowleopardoptimizationalgorithmanewnaturebasedoptimizationalgorithmforsolvingoptimizationproblems |
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