Teaching informatics students’ evolutionary algorithms

Authors

  • А.В. Кузьмін Taras Shevchenko National University of Kyiv Author
  • N.M. Kuzmina National Pedagogical Dragomanov University Author

DOI:

https://doi.org/10.31392/NPU-nc.series2.2019.21(28).03

Keywords:

evolutionary algorithms, Swarm intelligence algorithms, genetic algorithms, fitness function, selection, crossing, mutation

Abstract

The article discusses the basics of evolutionary algorithms concepts and the methodological aspects of teaching them to students specialized in informatics. Examples of software implementation of the Swarm intelligence algorithm are given, and the modular structure of the genetic algorithm is described. The effectiveness of the algorithms is tested on classical test functions, such as Rosenbrock and Rastrigin functions.

Author Biographies

  • А.В. Кузьмін, Taras Shevchenko National University of Kyiv

    кандидат фізико-математичних наук, доцент

  • N.M. Kuzmina, National Pedagogical Dragomanov University

    Candidate of Physical and Mathematical Sciences, Professor

References

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Published

2019-06-05

Issue

No. 21 (28) (2019): Науковий часопис Національного педагогічного університету імені М.П. Драгоманова Серія 2 Комп'ютерно-орієнтовані системи навчання

Section

Статті

How to Cite

Teaching informatics students’ evolutionary algorithms. (2019). Scientific Journal of the National Pedagogical Dragomanov University. Series 2. Computer-Oriented Learning Systems, 21 (28), 18-26. https://doi.org/10.31392/NPU-nc.series2.2019.21(28).03

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