Optimal design of multiple disc clutch brake using hybrid meta-heuristic algorithm

dc.contributor.authorREZKI Ines
dc.contributor.authorDJEDDOU Ferhat
dc.contributor.authorFERHAT Hamza
dc.date.accessioned2024-06-11T09:04:57Z
dc.date.available2024-06-11T09:04:57Z
dc.date.issued2019-02-24
dc.descriptionIntervention
dc.description.abstractIn mechanical design, metaheuristic algorithm were used to find optimal design of mechanical element but in some case this methods cannot reach the optimal solution so engineer tries to surpass those limitation by developing new algorithm or modified the older one by making combination between the metaheuristic algorithm that are already exist. This process is called hybridization. Nowadays, Hybrid algorithms play a prominent role to solve real-life optimization problem and applications in the industry. In this work, we proposed a new hybrid algorithm combine two metaheuristic algorithm: the differential evolution and particle swarm optimization algorithms. The algorithm was tested on well knowing mechanical design problem and the results are compared to other optimization algorithm from literature
dc.identifier.citationREZKI Ines. DJEDDOU Ferhat. FERHAT Hamza. Optimal design of multiple disc clutch brake using hybrid meta-heuristic algorithm. International Symposium on Technology & Sustainable Industry Development, ISTSID’2019. Faculty Of Technology. University Of Eloued. [Visited in ../../….]. Available from [copy the link here].
dc.identifier.urihttps://dspace.univ-eloued.dz/handle/123456789/33387
dc.language.isoen
dc.publisherUniversity of Eloued
dc.subjectdifferential evolution
dc.subjectparticle swarm
dc.subjectHybridization
dc.subjectMultiple disc clutch brake
dc.subjectmeta-heuristic
dc.titleOptimal design of multiple disc clutch brake using hybrid meta-heuristic algorithm
dc.typeIntervention

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