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Development of Backtracking Search Optimization Algorithm Toolkit in LabVIEW™

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dc.contributor.author Mishra, Puneet
dc.date.accessioned 2023-03-21T09:33:37Z
dc.date.available 2023-03-21T09:33:37Z
dc.date.issued 2015
dc.identifier.uri https://www.sciencedirect.com/science/article/pii/S1877050915020050
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9881
dc.description.abstract In 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.iso en en_US
dc.publisher Elsevier en_US
dc.subject EEE en_US
dc.subject Backtracking Search Optimization Algorithm en_US
dc.subject Optimization en_US
dc.subject Optimization Techniques en_US
dc.subject Evolutionary Algorithms en_US
dc.subject Virtual Instruments en_US
dc.title Development of Backtracking Search Optimization Algorithm Toolkit in LabVIEW™ en_US
dc.type Article en_US


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