Eigenvector Crossover in the Efficient jSO Algorithm

  • Petr Bujok Department Informatics and Computers, University of Ostrava, Czech Republic https://orcid.org/0000-0003-2956-1226
  • Radka Polakova Department of Social Sciences, University of Ostrava, Czech Republic
Keywords: differential evolution, eigenvector crossover, jSO, experimental comparison, CEC 2017

Abstract

In this paper, a new variant of an efficient adaptive jSO algorithm is presented. The original jSO uses popular binomial crossover which is applied in a standard coordinate system. Many problems tend to rotate the coordinate system in one or more axes. This is the reason why a crossover variant using Eigen coordinate system replaces the original binomial version of crossover in jSO. The newly proposed jSOe performs significantly better compared with the original jSO when solving 90 problems of the CEC 2017 benchmark set.

 

References

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Published
2019-06-24
How to Cite
[1]
Bujok, P. and Polakova, R. 2019. Eigenvector Crossover in the Efficient jSO Algorithm. MENDEL. 25, 1 (Jun. 2019), 65-72. DOI:https://doi.org/10.13164/mendel.2019.1.065.
Section
Articles