Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications

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dc.authoridIBRIKCI, Turgay/0000-0003-1321-2523
dc.authoridIsik, Gultekin/0000-0003-3037-5586
dc.authoridSoleimanian Gharehchopogh, Farhad/0000-0003-1588-1659
dc.authoridArasteh, Bahman/0000-0001-5202-6315
dc.authoridUCAN, Alaettin/0000-0002-2493-4022
dc.contributor.authorGharehchopogh, Farhad Soleimanian
dc.contributor.authorUcan, Alaettin
dc.contributor.authorIbrikci, Turgay
dc.contributor.authorArasteh, Bahman
dc.contributor.authorIsik, Gultekin
dc.date.accessioned2025-01-06T17:45:05Z
dc.date.available2025-01-06T17:45:05Z
dc.date.issued2023
dc.description.abstractMeta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems. This paper investigates a new meta-heuristic algorithm called Slime Mould algorithm (SMA) from different optimization aspects. The SMA algorithm was invented due to the fluctuating behavior of slime mold in nature. It has several new features with a unique mathematical model that uses adaptive weights to simulate the biological wave. It provides an optimal pathway for connecting food with high exploration and exploitation ability. As of 2020, many types of research based on SMA have been published in various scientific databases, including IEEE, Elsevier, Springer, Wiley, Tandfonline, MDPI, etc. In this paper, based on SMA, four areas of hybridization, progress, changes, and optimization are covered. The rate of using SMA in the mentioned areas is 15, 36, 7, and 42%, respectively. According to the findings, it can be claimed that SMA has been repeatedly used in solving optimization problems. As a result, it is anticipated that this paper will be beneficial for engineers, professionals, and academic scientists.
dc.identifier.doi10.1007/s11831-023-09883-3
dc.identifier.endpage2723
dc.identifier.issn1134-3060
dc.identifier.issn1886-1784
dc.identifier.issue4
dc.identifier.pmid36685136
dc.identifier.scopus2-s2.0-85146173940
dc.identifier.scopusqualityQ1
dc.identifier.startpage2683
dc.identifier.urihttps://doi.org/10.1007/s11831-023-09883-3
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3294
dc.identifier.volume30
dc.identifier.wosWOS:000913193700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofArchives of Computational Methods in Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectOptımızatıon
dc.subjectVersıon
dc.subjectModel
dc.subjectPv
dc.titleSlime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications
dc.typeArticle

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