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Parameter Adaptation in Differential Evolution Based on Diversity Control

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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

This paper explains an improved Differential Evolution algorithm based on adaptation of crossover rate and scaling factor using diversity control. Local search is applied to aid convergence process. The mutation strategies involved are modified using random localized method of vector selection to enhance performance. The proposed methodology is applied to SaDE. The proposed Diversity Controlled Parameter adapted Differential Evolution with Local Search (DCPaDE-LS) harmonically coordinates a balance between global and local search, thus ensuring a diversity dynamic which guarantees fast and efficient improvements in the search until detection of a solution with high performance. The performance of the proposed DCPaDE-LS is compared on a set of 26 bound-constrained benchmark functions for 10 and 30 dimensions with respect to average function evaluations (NFE) and success rate (SR) in 30 independent trials. Results show that, proposed method gives better SR for high-dimensional multimodal functions and saving in NFE for most functions.

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Author information

Authors and Affiliations

  1. KLN College of Engineering, India

    S. Miruna Joe Amali

  2. Thiagarajar College of Engineering, Madurai, India

    Subramanian Baskar

Authors
  1. S. Miruna Joe Amali
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  2. Subramanian Baskar
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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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© 2013 Springer International Publishing Switzerland

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Amali, S.M.J., Baskar, S. (2013). Parameter Adaptation in Differential Evolution Based on Diversity Control. 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_14

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  • DOI: https://doi.org/10.1007/978-3-319-03753-0_14

  • 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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