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Firefly Algorithm with Various Randomization Parameters: An Analysis

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Book cover Swarm, Evolutionary, and Memetic Computing (SEMCCO 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8297))

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Abstract

In recent years, metaheuristic algorithms are widely employed to provide optimal solutions for engineering optimization problems. In this work, a recent metaheuristic Firefly Algorithm (FA) is adopted to find optimal solution for a class of global benchmark problems and a PID controller design problem. Until now, few research works have been commenced with FA. The updated position in a firefly algorithm mainly depends on parameters such as attraction between fireflies due to luminance and randomization operator. In this paper, FA is analyzed with various randomization search strategies such as Lévy Flight (LF) and Brownian Distribution (BD). The proposed method is also compared with the other randomization operator existing in the literature. The performance assessment between LF and BD based FA are carried using prevailing parameters such as search time and accuracy in optimal parameters. The result evident that BD based FA provides better optimization accuracy, whereas LF based FA provides faster convergence.

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Author information

Authors and Affiliations

  1. Department of Electronics and Instrumentation, St. Joseph’s College of Engineering, Chennai, 600 119, Tamilnadu, India

    Nadaradjane Sri Madhava Raja & V. Rajinikanth

  2. School of Engineering, Taylor’s University, Lakeside Campus, Malaysia

    K. Suresh Manic

Authors
  1. Nadaradjane Sri Madhava Raja
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  2. K. Suresh Manic
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  3. V. Rajinikanth
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Editor information

Editors and Affiliations

  1. Electrical Engineering Dept., IIT Delhi, Hauz Khas, 110016, New Delhi, India

    Bijaya Ketan Panigrahi

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore

    Ponnuthurai Nagaratnam Suganthan

  3. Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India

    Swagatam Das

  4. SRM Engineering College, Department of Electrical and Electronics Engineering, SRM University, Potheri, Kattankulathur, Kancheepuram, 603203, Tamil Nadu, India

    Shubhransu Sekhar Dash

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Raja, N.S.M., Manic, K.S., Rajinikanth, V. (2013). Firefly Algorithm with Various Randomization Parameters: An Analysis. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2013. Lecture Notes in Computer Science, vol 8297. Springer, Cham. https://doi.org/10.1007/978-3-319-03753-0_11

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_11

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03752-3

  • Online ISBN: 978-3-319-03753-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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