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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Autores principales: Petr Coufal, Štěpán Hubálovský, Marie Hubálovská, Zoltan Balogh
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/86e91d759b334555b323f275c8a3bac3
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic optimization
optimization algorithm
nature-based algorithm
snow leopard
optimization problem
Mathematics
QA1-939
spellingShingle 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
description 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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