Lion algorithm: Overview, modifications and applications

The increasing complexity of real-world problems motivated computer scientists and researchers to seek more efficient problem-solving strategies. Because of their ability to adapt to a wide range of conditions, Natural Inspired, Bio Inspired, Metaheuristics based on evolutionary computation, and Swa...

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Main Author: Saman M. Almufti
Format: Article
Language:English
Published: Northern Negros State College of Science and Technology (NONESCOST) 2022-07-01
Series:International Research Journal of Science, Technology, Education, and Management
Subjects:
Online Access:https://irjstem.com/wp-content/uploads/2022/08/IRJSTEM-Volume2_No2_Paper17.pdf
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author Saman M. Almufti
author_facet Saman M. Almufti
author_sort Saman M. Almufti
collection DOAJ
description The increasing complexity of real-world problems motivated computer scientists and researchers to seek more efficient problem-solving strategies. Because of their ability to adapt to a wide range of conditions, Natural Inspired, Bio Inspired, Metaheuristics based on evolutionary computation, and Swarm Intelligence algorithms have been widely used for solving complex, real-world optimization problems. This paper presents a swarm based algorithm that is based on the cooperative behaviors between Loin’s, it is called lion algorithm (LA) algorithm. This paper provides a review of these algorithms, with a particular emphasis on the Lion algorithm. Lion Algorithm is based on lions' unique social behavior, which makes them the world's strongest animal. Loin Algorithm, like Genetic Algorithm, includes generation, mutation, crossover, and so on. The lion's territorial defense and territorial takeover behavior distinguishes this algorithm from others.
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spelling doaj.art-d7fda739dd74401e91b0d86ea777c9ae2022-12-22T04:18:26ZengNorthern Negros State College of Science and Technology (NONESCOST)International Research Journal of Science, Technology, Education, and Management2799-063X2799-06482022-07-012217618610.5281/zenodo.6973555Lion algorithm: Overview, modifications and applicationsSaman M. Almufti0Computer Science, Nawroz University, Kurdistan-Region, IraqThe increasing complexity of real-world problems motivated computer scientists and researchers to seek more efficient problem-solving strategies. Because of their ability to adapt to a wide range of conditions, Natural Inspired, Bio Inspired, Metaheuristics based on evolutionary computation, and Swarm Intelligence algorithms have been widely used for solving complex, real-world optimization problems. This paper presents a swarm based algorithm that is based on the cooperative behaviors between Loin’s, it is called lion algorithm (LA) algorithm. This paper provides a review of these algorithms, with a particular emphasis on the Lion algorithm. Lion Algorithm is based on lions' unique social behavior, which makes them the world's strongest animal. Loin Algorithm, like Genetic Algorithm, includes generation, mutation, crossover, and so on. The lion's territorial defense and territorial takeover behavior distinguishes this algorithm from others.https://irjstem.com/wp-content/uploads/2022/08/IRJSTEM-Volume2_No2_Paper17.pdfevolutionary algorithmlion algorithm (la)metaheuristicoptimizationswarm intelligent
spellingShingle Saman M. Almufti
Lion algorithm: Overview, modifications and applications
International Research Journal of Science, Technology, Education, and Management
evolutionary algorithm
lion algorithm (la)
metaheuristic
optimization
swarm intelligent
title Lion algorithm: Overview, modifications and applications
title_full Lion algorithm: Overview, modifications and applications
title_fullStr Lion algorithm: Overview, modifications and applications
title_full_unstemmed Lion algorithm: Overview, modifications and applications
title_short Lion algorithm: Overview, modifications and applications
title_sort lion algorithm overview modifications and applications
topic evolutionary algorithm
lion algorithm (la)
metaheuristic
optimization
swarm intelligent
url https://irjstem.com/wp-content/uploads/2022/08/IRJSTEM-Volume2_No2_Paper17.pdf
work_keys_str_mv AT samanmalmufti lionalgorithmoverviewmodificationsandapplications