Analytic programming powered by chaotic dynamics

Zelinka, Ivan; Skanderová, Lenka; Šaloun, Petr; Šenkeřík, Roman; Dao, Tran Trong; Hoang, Duy Vo

Title:	Analytic programming powered by chaotic dynamics
Author:	Zelinka, Ivan; Skanderová, Lenka; Šaloun, Petr; Šenkeřík, Roman; Dao, Tran Trong; Hoang, Duy Vo
Document type:	Conference paper (English)
Source document:	Advances in Intelligent Systems and Computing. 2014, vol. 289, p. 123-129
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-3-319-07400-9
DOI:	https://doi.org/10.1007/978-3-319-07401-6_12
Abstract:	In this paper we discuss alternative tool for symbolic regression so called Analytical programming and compare its variants powered by classical random as well as chaotic random-like number generator. Experimental data are used from the previous experiments reported for genetic programming. Selected algorithms are differential evolution, SOMA, particle swarm, simulated annealing and evolutionary strategies. All of them are mutually used in scheme Master- Slave meta-evolution for final complex structure fitting and its parameter estimation. © Springer International Publishing Switzerland 2014
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-07401-6_12
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Citace článku v konferenčním sborníku:
ZELINKA, Ivan, Lenka SKANDEROVÁ, Petr ŠALOUN, Roman ŠENKEŘÍK, Tran Trong DAO a Duy Vo HOANG. Analytic programming powered by chaotic dynamics. In: Advances in Intelligent Systems and Computing [online]. Ostrava: Springer-Verlag, 2014, s. 123-129. [cit. 2024-12-21]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-07401-6_12.

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