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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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