On the real world applications of many-objective evolutionary algorithms

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dc.contributor.authorSafi, Hayder H.
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2021-05-15T12:42:13Z
dc.date.available2021-05-15T12:42:13Z
dc.date.issued2018
dc.departmentMühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description1rst International Conference on Data Science, E-Learning and Information Systems (DATA) -- OCT 01-02, 2018 -- Univ Distancia Madrid, Madrid, SPAIN
dc.description.abstractRecently, many-objective evolutionary algorithms have been studied by many researchers. Most of research works were concentrated on developing new methods that can deal with the high number of objective functions of such complex problems. Proposing new scalable benchmarks and valid performance metrics are another two commonly discussed domains in many-objective optimization problems. Most of proposed algorithms have been used to solve different real-world problems from several domains and applications. There are many research papers were published to review and compare the performance of current many-objective evolutionary algorithms. On the other hand there is no work that presented to highlight and review the usage of such algorithms in real problems and applications. Therefore there is an increasing significance for analyzing and reviewing of the complex real world problems that solved using many-objective optimization evolutionary algorithm. In this paper, we review the recently research work that have been done in the domain of solving complex real-world problems using many objective evolutionary algorithms. In addition, the most important issues of metrics, benchmarks and algorithms will be discussed briefly.en_US
dc.description.sponsorshipInt Assoc Researchersen_US
dc.identifier.doi10.1145/3279996.3280028
dc.identifier.isbn978-1-4503-6536-9
dc.identifier.scopus2-s2.0-85058153148
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1145/3279996.3280028
dc.identifier.urihttps://hdl.handle.net/20.500.12939/911
dc.identifier.wosWOS:000511409000032
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorUçan, Osman Nuri
dc.institutionauthorBayat, Oğuz
dc.institutionauthorSafi, Hayder H.
dc.language.isoen
dc.publisherAssoc Computing Machineryen_US
dc.relation.ispartofProceedings of the First International Conference on Data Science, E-Learning and Information Systems 2018 (Data'18)
dc.relation.ispartofseriesACM International Conference Proceedings Series
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMany-Objective Optimizationen_US
dc.subjectEvolutionary Algorithmsen_US
dc.subjectMulti-Objective Problemsen_US
dc.subjectReal-World Optimization Problemsen_US
dc.titleOn the real world applications of many-objective evolutionary algorithms
dc.typeConference Object

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Bilgisayar Mühendisliği Bölümü Koleksiyonu
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