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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/9881
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dc.contributor.authorMishra, Puneet-
dc.date.accessioned2023-03-21T09:33:37Z-
dc.date.available2023-03-21T09:33:37Z-
dc.date.issued2015-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1877050915020050-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9881-
dc.description.abstractIn this paper a Backtracking Search Optimization Algorithm (BSA) toolkit has been developed in the LabVIEW™ environment. LabVIEW™ provides a graphical programming environment to design measurement and control applications. The development of BSA toolkit was motivated by the fact that only Differential Evolution (DE) toolkit was provided in LabVIEW™. Thus to design BSA toolkit, several modular virtual instruments have been developed for each BSA process. Developed BSA toolkit has been tested on several benchmark test functions and a comparative study with inbuilt DE toolkit has been performed, which shows results obtained from BSA toolkit are found superior to DE toolkit.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectEEEen_US
dc.subjectBacktracking Search Optimization Algorithmen_US
dc.subjectOptimizationen_US
dc.subjectOptimization Techniquesen_US
dc.subjectEvolutionary Algorithmsen_US
dc.subjectVirtual Instrumentsen_US
dc.titleDevelopment of Backtracking Search Optimization Algorithm Toolkit in LabVIEW™en_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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