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Chaos powered grammatical evolution

Repozitář DSpace/Manakin

Název: Chaos powered grammatical evolution
Autor: Zelinka, Ivan; Šaloun, Petr; Šenkeřík, Roman
Typ dokumentu: Článek ve sborníku (English)
Zdrojový dok.: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2014, vol. 8838, p. 455-464
ISSN: 0302-9743 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-662-45236-3
Abstrakt: In this paper we discuss alternative nonrandom generators for symbolic regression algorithms and compare its variants powered by classical pseudo-random number generator and chaotic systems. Experimental data from previous experiments reported for genetic programming and analytical programming is used. The selected algorithms are differential evolution and SOMA. Particle swarm, simulated annealing and evolutionary strategies are in process of investigation. All of them are mutually used in scheme Master-Slave meta-evolution for final complex structure fitting and its parameter estimation.
Plný text: https://link.springer.com/chapter/10.1007/978-3-662-45237-0_42
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Citace ČSN ISO 690:2011

Citace článku v konferenčním sborníku:
ZELINKA, Ivan, Petr ŠALOUN a Roman ŠENKEŘÍK. Chaos powered grammatical evolution. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [online]. Ho Chi Minh City: Springer Verlag, 2014, s. 455-464. [cit. 2024-11-22]. ISSN 0302-9743. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-662-45237-0_42.

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