Publication:
Firefly Programming for Symbolic Regression Problems

dc.authorwosidAslan, Selcuk/Aat-9375-2021
dc.authorwosidDemirci, Sercan/Acg-4553-2022
dc.contributor.authorAliwi, Mohamed
dc.contributor.authorAslan, Selcuk
dc.contributor.authorDemirci, Sercan
dc.contributor.authorIDAliwi, Mohamed/0000-0002-9876-3430
dc.date.accessioned2025-12-11T00:51:33Z
dc.date.issued2020
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aliwi, Mohamed; Aslan, Selcuk; Demirci, Sercan] Ondokuz Mayis Univ, Dept Comp Engn, Samsun, Turkeyen_US
dc.descriptionAliwi, Mohamed/0000-0002-9876-3430;en_US
dc.description.abstractSymbolic regression is the process of finding a mathematical formula that fits a specific set of data by searching in different mathematical expressions. This process requires great accuracy in order to reach the correct formula. In this paper, we will present a new method for solving symbolic regression problems based on the firefly algorithm. This method is called Firefly Programming (FP). The results of applying firefly programming algorithm to some symbolic regression benchmark problems will be compared to the results of Genetic Programming (GP) and Artificial Bee Colony Programming (ABCP) methods.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.doi10.1109/siu49456.2020.9302201
dc.identifier.isbn9781728172064
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/siu49456.2020.9302201
dc.identifier.urihttps://hdl.handle.net/20.500.12712/39750
dc.identifier.wosWOS:000653136100175
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORKen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFirefly Algorithmen_US
dc.subjectSymbolic Regressionen_US
dc.subjectAutomatic Programmingen_US
dc.titleFirefly Programming for Symbolic Regression Problemsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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