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Performance of Teaching Learning Based Optimization Algorithm with Various Teaching Factor Values for Solving Optimization Problems

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Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 247))

Abstract

Teaching Learning Based Optimization (TLBO) is being used as a new, reliable, accurate and robust optimization technique scheme for global optimization over continuous spaces. This paper presents an effect of variation of a teaching factor TF in traditional TLBO algorithm and then proposed a value for teaching factor TF. The traditional TLBO algorithm with new teaching factor TF value has been tested on several benchmark functions and shown to be statistically significantly better than other teaching factor values for performance measures in terms of faster convergence behavior.

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Author information

Authors and Affiliations

  1. Dept of CSE, GMRIT, Rajam, India

    M. Ramakrishna Murty

  2. Dept of CSE, JNTUK, Kakinada, India

    J. V. R. Murthy

  3. Dept of CS&SE, Andhra University, Visakhapatnam, India

    P. V. G. D. Prasad Reddy

  4. Dept of CSE, MITS, Rayagada, India

    Anima Naik

  5. Dept of CSE, ANITS, Visakhapatnam, India

    Suresh Chandra Satapathy

Authors
  1. M. Ramakrishna Murty
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  2. J. V. R. Murthy
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  3. P. V. G. D. Prasad Reddy
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  4. Anima Naik
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  5. Suresh Chandra Satapathy
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Corresponding author

Correspondence to M. Ramakrishna Murty .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K Udgata

  3. Bhubaneswar Engineering College, Bhubaneswar, India

    Bhabendra Narayan Biswal

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Murty, M.R., Murthy, J.V.R., Reddy, P.V.G.D.P., Naik, A., Satapathy, S.C. (2014). Performance of Teaching Learning Based Optimization Algorithm with Various Teaching Factor Values for Solving Optimization Problems. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-02931-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-02931-3_25

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02930-6

  • Online ISBN: 978-3-319-02931-3

  • eBook Packages: EngineeringEngineering (R0)

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