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SOMA T3A for Solving the 100-Digit Challenge

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Book cover Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing (SEMCCO 2019, FANCCO 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1092))

Abstract

In this paper, we address 10 basic test functions of the 100-Digit Challenge of the SEMCCO 2019 & FANCCO 2019 Competition by using team-to-team adaptive seft-organizing migrating algorithm - SOMA T3A with many improvements in the Organization, Migration, and Update process, as well as the linear adaptive PRT and the cosine-based adaptive Step. The results obtained from the algorithm on the 100-Digit Challenge are very promising with 93 points in total.

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Acknowledgment

The following grants are acknowledged for the financial support provided for this research: Grant of SGS No. SP2019/137, VSB - Technical University of Ostrava. This work was also supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project no. LO1303 (MSMT-7778/2014), further by the European Regional Development Fund under the Project CEBIA-Tech no. CZ.1.05/2.1.00/03.0089.

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Computer Science, VSB - Technical University of Ostrava, 17. listopadu 2172/15, 708 00, Ostrava-Poruba, Czech Republic

    Quoc Bao Diep & Ivan Zelinka

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 Barrackpore Trunk Road, Kolkata, India

    Swagatam Das

  3. Faculty of Applied Informatics, Tomas Bata University in Zlin, T. G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Roman Senkerik

Authors
  1. Quoc Bao Diep
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  2. Ivan Zelinka
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  3. Swagatam Das
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  4. Roman Senkerik
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Corresponding author

Correspondence to Quoc Bao Diep .

Editor information

Editors and Affiliations

  1. University of Maribor, Maribor, Slovenia

    Aleš Zamuda

  2. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  3. Division of Control and Instrumentation, Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  4. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Bijaya Ketan Panigrahi

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Diep, Q.B., Zelinka, I., Das, S., Senkerik, R. (2020). SOMA T3A for Solving the 100-Digit Challenge. In: Zamuda, A., Das, S., Suganthan, P., Panigrahi, B. (eds) Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing. SEMCCO FANCCO 2019 2019. Communications in Computer and Information Science, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-37838-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-37838-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37837-0

  • Online ISBN: 978-3-030-37838-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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