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Pareto-Based Self-organizing Migrating Algorithm Solving 100-Digit Challenge

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

Abstract

In this article, we describe the design and implementation of a variant version of SOMA named SOMA Pareto to solve ten hard problems of the 100-Digit Challenge. The algorithm consists of the following operations: Organization, Migration, and Update. In which, we focus on improving the Organization operation with the adaptive parameters of PRT and Step. When applying the SOMA Pareto to solve ten hard problems to 10 digits of accuracy, we achieved a competitive result: 85.04 points.

Keywords

Self-organizing migrating algorithm Optimization function SOMA Pareto Swarm intelligence 100-digit challenge 
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Notes

Acknowledgement

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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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Computer ScienceVSB-Technical University of OstravaOstrava-Poruba, OstravaCzech Republic
  2. 2.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic

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