Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

In recent years, many researchers have utilized metaheuristic optimization algorithms along with fuzzy logic theory in their studies for various purposes. The harmony search (HS) algorithm is one of the metaheuristic optimization algorithms that is widely employed in different studies along with fuz...

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Autores principales:	Mohammad Nasir, Ali Sadollah, Przemyslaw Grzegorzewski, Jin Hee Yoon, Zong Woo Geem
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	harmony search fuzzy logic optimization metaheuristics Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/f58a40afb84f4b04a61963b45f20692e
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id	oai:doaj.org-article:f58a40afb84f4b04a61963b45f20692e
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spelling	oai:doaj.org-article:f58a40afb84f4b04a61963b45f20692e2021-11-11T18:14:29ZHarmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications10.3390/math92126652227-7390https://doaj.org/article/f58a40afb84f4b04a61963b45f20692e2021-10-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/21/2665https://doaj.org/toc/2227-7390In recent years, many researchers have utilized metaheuristic optimization algorithms along with fuzzy logic theory in their studies for various purposes. The harmony search (HS) algorithm is one of the metaheuristic optimization algorithms that is widely employed in different studies along with fuzzy logic (FL) theory. FL theory is a mathematical approach to expressing uncertainty by applying the conceptualization of fuzziness in a system. This review paper presents an extensive review of published papers based on the combination of HS and FL systems. In this regard, the functional characteristics of models obtained from integration of FL and HS have been reported in various articles, and the performance of each study is investigated. The basic concept of the FL approach and its derived models are introduced to familiarize readers with the principal mechanisms of FL models. Moreover, appropriate descriptions of the primary classifications acquired from the coexistence of FL and HS methods for specific purposes are reviewed. The results show that the high efficiency of HS to improve the exploration of FL in achieving the optimal solution on the one hand, and the capability of fuzzy inference systems to provide more flexible and dynamic adaptation of the HS parameters based on human perception on the other hand, can be a powerful combination for solving optimization problems. This review paper is believed to be a useful resource for students, engineers, and professionals.Mohammad NasirAli SadollahPrzemyslaw GrzegorzewskiJin Hee YoonZong Woo GeemMDPI AGarticleharmony searchfuzzy logicoptimizationmetaheuristicsMathematicsQA1-939ENMathematics, Vol 9, Iss 2665, p 2665 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	harmony search fuzzy logic optimization metaheuristics Mathematics QA1-939
spellingShingle	harmony search fuzzy logic optimization metaheuristics Mathematics QA1-939 Mohammad Nasir Ali Sadollah Przemyslaw Grzegorzewski Jin Hee Yoon Zong Woo Geem Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
description	In recent years, many researchers have utilized metaheuristic optimization algorithms along with fuzzy logic theory in their studies for various purposes. The harmony search (HS) algorithm is one of the metaheuristic optimization algorithms that is widely employed in different studies along with fuzzy logic (FL) theory. FL theory is a mathematical approach to expressing uncertainty by applying the conceptualization of fuzziness in a system. This review paper presents an extensive review of published papers based on the combination of HS and FL systems. In this regard, the functional characteristics of models obtained from integration of FL and HS have been reported in various articles, and the performance of each study is investigated. The basic concept of the FL approach and its derived models are introduced to familiarize readers with the principal mechanisms of FL models. Moreover, appropriate descriptions of the primary classifications acquired from the coexistence of FL and HS methods for specific purposes are reviewed. The results show that the high efficiency of HS to improve the exploration of FL in achieving the optimal solution on the one hand, and the capability of fuzzy inference systems to provide more flexible and dynamic adaptation of the HS parameters based on human perception on the other hand, can be a powerful combination for solving optimization problems. This review paper is believed to be a useful resource for students, engineers, and professionals.
format	article
author	Mohammad Nasir Ali Sadollah Przemyslaw Grzegorzewski Jin Hee Yoon Zong Woo Geem
author_facet	Mohammad Nasir Ali Sadollah Przemyslaw Grzegorzewski Jin Hee Yoon Zong Woo Geem
author_sort	Mohammad Nasir
title	Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
title_short	Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
title_full	Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
title_fullStr	Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
title_full_unstemmed	Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications
title_sort	harmony search algorithm and fuzzy logic theory: an extensive review from theory to applications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f58a40afb84f4b04a61963b45f20692e
work_keys_str_mv	AT mohammadnasir harmonysearchalgorithmandfuzzylogictheoryanextensivereviewfromtheorytoapplications AT alisadollah harmonysearchalgorithmandfuzzylogictheoryanextensivereviewfromtheorytoapplications AT przemyslawgrzegorzewski harmonysearchalgorithmandfuzzylogictheoryanextensivereviewfromtheorytoapplications AT jinheeyoon harmonysearchalgorithmandfuzzylogictheoryanextensivereviewfromtheorytoapplications AT zongwoogeem harmonysearchalgorithmandfuzzylogictheoryanextensivereviewfromtheorytoapplications
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Harmony Search Algorithm and Fuzzy Logic Theory: An Extensive Review from Theory to Applications

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