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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/9876
Title: Development of Bat Algorithm toolkit in LabVIEW™
Authors: Mishra, Puneet
Keywords: EEE
Bat algorithm
Optimization
Meta-heuristic
Virtual instrumentation
Issue Date: May-2015
Publisher: IEEE
Abstract: Meta-heuristic optimization algorithms are very useful tool for obtaining an optimal solution of engineering optimization problems. Bat Algorithm (BA) is one of the recent meta-heuristic algorithms. It has been claimed to be superior to its counter parts. On the other hand LabVIEW ™ is a versatile software tool being utilized for measurement and control applications in various engineering domains worldwide. The standard LabVIEW ™ package is only supplied with the Differential Evolution (DE) Toolkit for optimization. At times need was felt to develop a better optimization support in the LabVIEW ™ package. In this work a genuine effort has been made for this task and a BA Toolkit has been developed in LabVIEW ™ . The detailed development strategy, component descriptions and their interfaces and a comparison of the obtained results with the DE optimization toolkit has been presented in this paper for a set of classical benchmark functions.
URI: https://ieeexplore.ieee.org/document/7148362
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9876
Appears in Collections:Department of Electrical and Electronics Engineering

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