Niching in evolution strategies

Authors:
Ofer M. Shir;Thomas Bäck
Affiliations:
Universiteit Leiden, Leiden, The Netherlands;Universiteit Leiden, Leiden, The Netherlands
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 2
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Abstract

EAs have the tendency to converge quickly into a single solution. Niching methods, the extension of EAs to address this issue, have been investigated up to date mainly within the field of Genetic Algorithms (GAs). In our study we investigate the basis for niching methods within Evolution Strategies (ES), and propose the first ES niching method. Results show that this method can reliably find and maintain multiple niches even for high-dimensional problems.