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

Ryszard Klempka | Zendy; B. Filipowicz | Zendy

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

Author(s) -

Ryszard Klempka,

B. Filipowicz

Publication year - 2017

Publication title -

turkish journal of electrical engineering and computer sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.225

H-Index - 30

eISSN - 1303-6203

pISSN - 1300-0632

DOI - 10.3906/elk-1511-252

Subject(s) - cuckoo search , cuckoo , genetic algorithm , computer science , mathematical optimization , quality (philosophy) , algorithm , mathematics , machine learning , biology , zoology , particle swarm optimization , philosophy , epistemology

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.

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