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Dynamic multi-objective evolutionary algorithms in noisy environments

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dc.contributor.authorTOPCUOĞLU, HALUK RAHMİ
dc.contributor.authorsSahmoud S., TOPCUOĞLU H. R.
dc.date.accessioned2023-04-19T12:10:14Z
dc.date.available2023-04-19T12:10:14Z
dc.date.issued2023-07-01
dc.description.abstractReal-world multi-objective optimization problems encounter different types of uncertainty that may affect the quality of solutions. One common type is the stochastic noise that contaminates the objective functions. Another type of uncertainty is the different forms of dynamism including changes in the objective functions. Although related work in the literature targets only a single type, in this paper, we study Dynamic Multi-objective Optimization problems (DMOPs) contaminated with stochastic noises by dealing with the two types of uncertainty simultaneously. In such problems, handling uncertainty becomes a critical issue since the evolutionary process should be able to distinguish between changes that come from noise and real environmental changes that resulted from different forms of dynamism. To study both noisy and dynamic environments, we propose a flexible mechanism to incorporate noise into the DMOPs. Two novel techniques called Multi-Sensor Detection Mechanism (MSD) and Welford-Based Detection Mechanism (WBD) are proposed to differentiate between real change points and noise points. The proposed techniques are incorporated into a set of Dynamic Multi-objective Evolutionary Algorithms (DMOEAs) to analyze their impact. Our empirical study reveals the effectiveness of the proposed techniques for isolating noise from real dynamic changes and diminishing the noise effect on performance.
dc.identifier.citationSahmoud S., TOPCUOĞLU H. R., "Dynamic multi-objective evolutionary algorithms in noisy environments", Information Sciences, cilt.634, ss.650-664, 2023
dc.identifier.doi10.1016/j.ins.2023.03.094
dc.identifier.endpage664
dc.identifier.issn0020-0255
dc.identifier.startpage650
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151471779&origin=inward
dc.identifier.urihttps://hdl.handle.net/11424/288790
dc.identifier.volume634
dc.language.isoeng
dc.relation.ispartofInformation Sciences
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSosyal ve Beşeri Bilimler
dc.subjectSosyoloji
dc.subjectKütüphanecilik
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectKontrol ve Sistem Mühendisliği
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectBiyoenformatik
dc.subjectVeritabanı ve Veri Yapıları
dc.subjectMühendislik ve Teknoloji
dc.subjectSocial Sciences and Humanities
dc.subjectSociology
dc.subjectLibrary Sciences
dc.subjectInformation Systems, Communication and Control Engineering
dc.subjectControl and System Engineering
dc.subjectComputer Sciences
dc.subjectalgorithms
dc.subjectbioinformatics
dc.subjectDatabase and Data Structures
dc.subjectEngineering and Technology
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectSosyal Bilimler (SOC)
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik
dc.subjectSosyal Bilimler Genel
dc.subjectOTOMASYON & KONTROL SİSTEMLERİ
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBİLGİSAYAR BİLİMİ, TEORİ VE YÖNTEM
dc.subjectBİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ
dc.subjectBİLGİ BİLİMİ VE KÜTÜPHANE BİLİMİ
dc.subjectEngineering, Computing & Technology (ENG)
dc.subjectSocial Sciences (SOC)
dc.subjectCOMPUTER SCIENCE
dc.subjectENGINEERING
dc.subjectSOCIAL SCIENCES, GENERAL
dc.subjectAUTOMATION & CONTROL SYSTEMS
dc.subjectCOMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
dc.subjectCOMPUTER SCIENCE, THEORY & METHODS
dc.subjectCOMPUTER SCIENCE, SOFTWARE ENGINEERING
dc.subjectINFORMATION SCIENCE & LIBRARY SCIENCE
dc.subjectTeorik Bilgisayar Bilimi
dc.subjectFizik Bilimleri
dc.subjectYazılım
dc.subjectBilgisayar Bilimi Uygulamaları
dc.subjectBilgi Sistemleri ve Yönetimi
dc.subjectSosyal Bilimler ve Beşeri Bilimler
dc.subjectYapay Zeka
dc.subjectTheoretical Computer Science
dc.subjectPhysical Sciences
dc.subjectSoftware
dc.subjectControl and Systems Engineering
dc.subjectComputer Science Applications
dc.subjectInformation Systems and Management
dc.subjectSocial Sciences & Humanities
dc.subjectArtificial Intelligence
dc.subjectChange detection
dc.subjectDynamic multi-objective optimization problems
dc.subjectNoise detection
dc.subjectNoisy optimization problems
dc.subjectUncertainty
dc.titleDynamic multi-objective evolutionary algorithms in noisy environments
dc.typearticle
dspace.entity.typePublication
local.avesis.id1aeb4213-96fa-4ecb-b909-e3356d9ff825
local.indexed.atSCOPUS
relation.isAuthorOfPublication54c6a927-2146-44b3-90ee-33dac6503317
relation.isAuthorOfPublication.latestForDiscovery54c6a927-2146-44b3-90ee-33dac6503317

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