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Experimenting with a New Population-Based Optimization Technique: FUNgal Growth Inspired (FUNGI) Optimizer

  • A. TormásiEmail author
  • L. T. Kóczy
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 361)

Abstract

In this paper the experimental results of a new evolutionary algorithm are presented. The proposed method was inspired by the growth and reproduction of fungi. Experiments were executed and evaluated on discretized versions of common functions, which are used in benchmark tests of optimization techniques. The results were compared with other optimization algorithms and the directions of future research with many possible modifications/extension of the presented method are discussed.

Notes

Acknowledgements

This paper was partially supported by the National Research, Development and Innovation Office (NKFIH) K105529, K108405. The implementations of the used benchmark functions are based on the work of J. D. McCaffrey [21], S. Surjanovic and D. Bingham [22].

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Information TechnologySzéchenyi István UniversityGyőrHungary
  2. 2.Department of Telecommunications and Media InformaticsBudapest University of Technology and EconomicsBudapestHungary

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