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Nature-Inspired Toolbox to Design and Optimize Systems

Nature-Inspired Toolbox to Design and Optimize Systems

Satvir Singh, Arun Khosla, J. S. Saini
Copyright: © 2012 |Pages: 19
ISBN13: 9781466618336|ISBN10: 1466618337|EISBN13: 9781466618343
DOI: 10.4018/978-1-4666-1833-6.ch017
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MLA

Singh, Satvir, et al. "Nature-Inspired Toolbox to Design and Optimize Systems." Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, edited by Siddhivinayak Kulkarni, IGI Global, 2012, pp. 273-291. https://doi.org/10.4018/978-1-4666-1833-6.ch017

APA

Singh, S., Khosla, A., & Saini, J. S. (2012). Nature-Inspired Toolbox to Design and Optimize Systems. In S. Kulkarni (Ed.), Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques (pp. 273-291). IGI Global. https://doi.org/10.4018/978-1-4666-1833-6.ch017

Chicago

Singh, Satvir, Arun Khosla, and J. S. Saini. "Nature-Inspired Toolbox to Design and Optimize Systems." In Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques, edited by Siddhivinayak Kulkarni, 273-291. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-1833-6.ch017

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Abstract

Nature-Inspired (NI) Toolbox is a Particle Swarm Optimization (PSO) based toolbox which is developed in the MATLAB environment. It has been released under General Public License and hosted at SourceForge.net (http://sourceforge.net/projects/nitool/). The purpose of this toolbox is to facilitate the users/designers in design and optimization of their systems. This chapter discusses the fundamental concepts of PSO algorithms in the initial sections, followed by discussions and illustrations of benchmark optimization functions. Various modules of the Graphical User Interface (GUI) of NI Toolbox are explained with necessary figures and snapshots. In the ending sections, simulations results present comparative performance of various PSO models with concluding remarks.

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