Please use this identifier to cite or link to this item: https://dspace.upt.ro/xmlui/handle/123456789/6664
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMaheswari, A.-
dc.contributor.authorKarthikeyan, S.-
dc.contributor.authorPalanivelrajan, M.-
dc.date.accessioned2024-09-24T08:37:39Z-
dc.date.available2024-09-24T08:37:39Z-
dc.date.issued2020-
dc.identifier.citationMaheswari, A.; Karthikeyan, S.; Palanivelrajan, M.: PSO and GA based intuitionistic fuzzy optimization problems. Timişoara: Editura Politehnica, 2020.en_US
dc.identifier.issn1582-4594-
dc.identifier.urihttps://dspace.upt.ro/xmlui/handle/123456789/6664-
dc.description.abstractLinear programming techniques are widely used to solve a number of business, industrial, military, economic, decision making, marketing and advertising problems and optimization plays an important role in Linear programming. In decision making, the decision maker can not decide and choose a best alternative without optimization. In this paper a linear programming problem is constructed in decision making and then Genetic Algorithm & Particle Swarm Optimization are applied to find the optimal solution through which we can have the better results.en_US
dc.language.isoenen_US
dc.publisherTimișoara : Editura Politehnicaen_US
dc.relation.ispartofseriesJournal of Electrical Engineering;Vol 20 No 1-
dc.subjectIntuitionistic Fuzzy seten_US
dc.subjectDecision makingen_US
dc.subjectIntuitionistic fuzzy optimizationen_US
dc.subjectGenetic Algorithmen_US
dc.subjectParticle Swarm Optimizationen_US
dc.titlePSO and GA based intuitionistic fuzzy optimization problems [articol]en_US
dc.typeArticleen_US
Appears in Collections:Articole științifice/Scientific articles

Files in This Item:
File Description SizeFormat 
BUPT_ART_Maheswari_f.pdf289.07 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.