Differential Evolution and Chaotic Series

Citation data:

International Conference on Systems, Signals, and Image Processing, ISSN: 2157-8702, Vol: 2018-June, Page: 1-5

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http://publikace.k.utb.cz/handle/10563/1008211; http://hdl.handle.net/10563/1008211
Šenkeřík, Roman; Viktorin, Adam; Pluháček, Michal; Kadavý, Tomáš; Komínková Oplatková, Zuzana
Institute of Electrical and Electronics Engineers (IEEE); IEEE Computer Society
Computer Science; Chaotic map; Complex dynamics; Deterministic chaos; Differential Evolution; Population diversity
conference paper description
This research deals with the modern and popular hybridization of chaotic dynamics and evolutionary computation. It is aimed at the influence of chaotic sequences on the performance of four selected Differential Evolution (DE) variants. The variants of interest were: original DE/Rand/1/ and DE/Best/1/ mutation schemes, simple parameter adaptive jDE, and the recent state of the art version SHADE. Experiments are focused on the extensive investigation of the different randomization schemes for the selection of individuals in DE algorithm driven by the nine different two-dimensional discrete chaotic systems, as the chaotic pseudo-random number generators. The performances of DE variants and their chaotic/non-chaotic versions are recorded in the one-dimensional settings of 10 $D$ and 15 test functions from the CEC 2015 benchmark.