An application of tabu search to economic dispatch problem

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dc.contributor.authorYavuzer T.
dc.contributor.authorYalcinoz T.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2003
dc.departmentNiğde ÖHÜ
dc.descriptionMinistry of Macedonia;Aristotle University of Thessaloniki, Thessaloniki, Greece;Insitiute of Electrical Engineers, IEE;Institute of Electrical and Electronic Engineers, IEEE;Technical Chamber of Greece, TCG
dc.descriptionUPEC 2003, 38th International Universities' Power Engineering Conference -- 1 September 2003 through 3 September 2003 -- Thessaloniki -- 62394
dc.description.abstractIn this paper, the tabu search method is applied to economic dispatch problem. The proposed method has achieved efficient and accurate solutions for power systems with 3 and 6 units. The results of the proposed method are compared with those of an improved Hopfield neural network approach (IHN) [1], a fuzzy logic controlled genetic algorithm (FLCGA) [2], an advance engineered-conditioning genetic approach (AECGA) [3] and an advance Hopfield neural network approach (AHNN) [4]. The results show that the proposed method is capable of being applied efficiently to the economic dispatch problem.
dc.identifier.endpage47
dc.identifier.scopus2-s2.0-1442327677
dc.identifier.scopusqualityN/A
dc.identifier.startpage44
dc.identifier.urihttps://hdl.handle.net/11480/1325
dc.identifier.volume38
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofProceedings of the Universities Power Engineering Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleAn application of tabu search to economic dispatch problem
dc.typeConference Object

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