Proceedings Vol. 24 (2018)
ENGINEERING MECHANICS 2018
May 14 – 17, 2018, Svratka, Czech Republic
Copyright © 2018 Institute of Theoretical and Applied Mechanics of the Cech Academy of Sciences, Prague
ISBN 978-80-86246-91-8 (electronic)
ISSN 1805-8248 (printed)
ISSN 1805-8256 (electronic)
list of papers scientific commitee
pages 141 - 144, full text
Choice of configuration parameters of an evolutionary algorithm is not straightforward. This contribution studies impact of two Differential Evolution configuration parameters - the mutation factor F and the crossover rate CR - on the actual solution quality the optimisation process can yield. A subset of visual maps displaying this relationship for ten variants of Differential Evolution benchmarked on six standard test functions is presented.
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All papers were reviewed by members of the scientific committee.