Development of a Grey Wolf Optimizer Toolkit in LabVIEW™

dc.contributor.authorMishra, Puneet
dc.date.accessioned2023-03-21T09:28:01Z
dc.date.available2023-03-21T09:28:01Z
dc.date.issued2015
dc.description.abstractIn this paper a Grey Wolf Optimizer (GWO) Toolkit developed in LabVIEW ™ environment, has been presented. Grey Wolf Optimizer (GWO) is inspired by Grey wolves (Canis lupus). The GWO algorithm, in nature, mimics the leadership hierarchy, and the hunting mechanism of grey wolves. LabVIEW ™ is a versatile tool for measurement and control applications and it is very popular among the industries. As Differential Evolution (DE) is the only optimization technique available in the LabVIEW ™ environment. The developed toolkit is examined on nine benchmark functions and results are compared with DE. A step by step systematic procedure for the toolkit development and a comparative study with the existing DE toolkit results has been presented in this paper.en_US
dc.identifier.urihttps://ieeexplore.ieee.org/document/7154978
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9879
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectGrey Wolf Optimizeren_US
dc.subjectOptimizationen_US
dc.subjectMeta-heuristicen_US
dc.subjectVirtual Instrumentsen_US
dc.titleDevelopment of a Grey Wolf Optimizer Toolkit in LabVIEW™en_US
dc.typeArticleen_US

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