Contact Us | Language: čeština English
Title: | Chaos powered grammatical evolution | ||||||||||
Author: | Zelinka, Ivan; Šaloun, Petr; Šenkeřík, Roman | ||||||||||
Document type: | Conference paper (English) | ||||||||||
Source document: | 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) | ||||||||||
Journal Impact
This chart shows the development of journal-level impact metrics in time
|
|||||||||||
ISBN: | 978-3-662-45236-3 | ||||||||||
Abstract: | 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. | ||||||||||
Full text: | https://link.springer.com/chapter/10.1007/978-3-662-45237-0_42 | ||||||||||
Show full item record |