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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Mishra, Puneet | - |
| dc.date.accessioned | 2023-03-21T09:28:01Z | - |
| dc.date.available | 2023-03-21T09:28:01Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.uri | https://ieeexplore.ieee.org/document/7154978 | - |
| dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9879 | - |
| dc.description.abstract | In 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.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | EEE | en_US |
| dc.subject | Grey Wolf Optimizer | en_US |
| dc.subject | Optimization | en_US |
| dc.subject | Meta-heuristic | en_US |
| dc.subject | Virtual Instruments | en_US |
| dc.title | Development of a Grey Wolf Optimizer Toolkit in LabVIEW™ | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Department of Electrical and Electronics Engineering | |
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