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Analysis of t-distribution in Variable Step Size Firefly Algorithm in the Applications of Machine Learning

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Advances in Electronics, Communication and Computing (ETAEERE 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 709))

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Abstract

The firefly algorithm in the field of swarm intelligence is recognized as one of the widely demanded algorithm for machine learning applications. This algorithm is inspired by natural leaving pattern of firefly. This algorithm is modified by several researchers for getting better exploration of solution space for various applications. In all these modifications the variable step size firefly algorithm is gathering popularity in the field of machine learning because of its simplicity in modification. In this paper, this modified version is further enhanced by the addition of t-distribution function. This newly proposed version helps in the improvement of exploration along with the exploitation of the searched space to generate better solutions. Simulation of the novel projected version is done with standard benchmarking functions to prove the enhancement in the solution. The analysis of results proves the betterment of the solution in a variety of cases. This approach of modification can be utilized for applications in machine learning.

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, ITER, Siksha ‘O’ Anusandhan deemed to be University, Bhubaneswar, Odisha, India

    Shubhendu Kumar Sarangi

  2. Department of Computer Science and Engineering, ITER, Siksha ‘O’ Anusandhan deemed to be University, Bhubaneswar, Odisha, India

    Archana Sarangi

Authors
  1. Shubhendu Kumar Sarangi
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  2. Archana Sarangi
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Corresponding author

Correspondence to Archana Sarangi .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT Deemed to be University), Bhubaneswar, Odisha, India

    Pradeep Kumar Mallick

  2. Department Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Rangpo, Sikkim, India

    Akash Kumar Bhoi

  3. Division of Information and Communication, Baekseok University, Cheonan, Ch’ungch’ong-namdo, Korea (Republic of)

    Gyoo-Soo Chae

  4. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India

    Kanak Kalita

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Sarangi, S.K., Sarangi, A. (2021). Analysis of t-distribution in Variable Step Size Firefly Algorithm in the Applications of Machine Learning. In: Mallick, P.K., Bhoi, A.K., Chae, GS., Kalita, K. (eds) Advances in Electronics, Communication and Computing. ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-15-8752-8_2

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  • DOI: https://doi.org/10.1007/978-981-15-8752-8_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8751-1

  • Online ISBN: 978-981-15-8752-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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