Kontaktujte nás | Jazyk: čeština English
Název: | Analytic programming powered by chaotic dynamics |
Autor: | Zelinka, Ivan; Skanderová, Lenka; Šaloun, Petr; Šenkeřík, Roman; Dao, Tran Trong; Hoang, Duy Vo |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | 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 |
Abstrakt: | 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 |
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-07401-6_12 |
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