Comparison of using the genetic algorithm and cuckoo search for multicriteria optimisation with limitation

Authors

RYSZARD KLEMPKA
BOGUSLAW FILIPOWICZ

DOI

10.3906/elk-1511-252

Abstract

The article presents an example of using two optimisation methods, a genetic algorithm and cuckoo search, to identify parameters of electric drive controllers using some quality criteria and by applying a limitation to the maximum values of signals in the controlled facility. The results for both optimisation methods are compared. The impact of the probability that the nest host discovers the laid eggs on the speed of finding the optimum solution is investigated.

Keywords

Genetic algorithms, cuckoo search, optimisation, DC drive control

First Page

1300

Last Page

1310

Recommended Citation

KLEMPKA, RYSZARD and FILIPOWICZ, BOGUSLAW (2017) "Comparison of using the genetic algorithm and cuckoo search for multicriteria optimisation with limitation," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 2, Article 51. https://doi.org/10.3906/elk-1511-252
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss2/51