Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/20940
Full metadata record
DC FieldValueLanguage
dc.contributor.authorREZKI, Ines-
dc.contributor.authorDJEDDOU, Ferhat-
dc.contributor.authorHAMMOUDA, Abdellatif-
dc.date.accessioned2019-06-25T08:33:48Z-
dc.date.available2019-06-25T08:33:48Z-
dc.date.issued2019-03-05-
dc.identifier.urihttp://dspace.univ-ouargla.dz/jspui/handle/123456789/20940-
dc.descriptionLe 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019en_US
dc.description.abstractTo overcome the limitation of some of the metaheuristic optimization algorithm engineer tries to developed new algorithm or modified the older one by making combination between metaheuristic algorithm that are already exist this process is called hybridization and it’s become an important tool to solve many real-life optimization applications in the industry. This paper proposes a hybrid algorithm based on the combination between differential evolution algorithm and particle swarm optimization algorithm .the algorithm was tested on well knowing mechanical benchmark and the results are compared to other optimization algorithm from literatureen_US
dc.language.isoenen_US
dc.publisherUniversité Kasdi Merbah Ouarglaen_US
dc.relation.ispartofseries2019;-
dc.subjectdifferential evolutionen_US
dc.subjectparticle swarmen_US
dc.subjectHybridizationen_US
dc.subjectMechanical systemen_US
dc.subjectmeta-heuristicen_US
dc.titleOptimal Design of Welded beam structure using hybrid Meta-heuristic Algorithmen_US
dc.typeArticleen_US
Appears in Collections:2. Faculté des nouvelles technologies de l’information et de la communication

Files in This Item:
File Description SizeFormat 
REZKI Ines.pdf546,89 kBAdobe PDFView/Open


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