Chaos Powered Grammatical Evolution

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.
Document type :
Conference papers
Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.455-464, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_42〉
Liste complète des métadonnées

Cited literature [38 references]  Display  Hide  Download

https://hal.inria.fr/hal-01405629
Contributor : Hal Ifip <>
Submitted on : Wednesday, November 30, 2016 - 11:12:06 AM
Last modification on : Wednesday, November 30, 2016 - 11:38:27 AM
Document(s) archivé(s) le : Monday, March 27, 2017 - 8:28:00 AM

File

978-3-662-45237-0_42_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Ivan Zelinka, Petr Šaloun, Roman Senkerik. Chaos Powered Grammatical Evolution. Khalid Saeed; Václav Snášel. 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Nov 2014, Ho Chi Minh City, Vietnam. Springer, Lecture Notes in Computer Science, LNCS-8838, pp.455-464, 2014, Computer Information Systems and Industrial Management. 〈10.1007/978-3-662-45237-0_42〉. 〈hal-01405629〉

Share

Metrics

Record views

42

Files downloads

16