Improvement of Evolutionary Computation Approaches for Continuous Dynamical System Identification - Robustness and Performance Improvement of Standard Genetic Programming by Approximation, Multiple Shooting Methods, and Iterative Approaches

Thomas Buchsbaum

Improvement of Evolutionary Computation Approaches for Continuous Dynamical System Identification - Robustness and Performance Improvement of Standard Genetic Programming by Approximation, Multiple Shooting Methods, and Iterative Approaches

Thomas Buchsbaum

Institut für Maschinenbau- und Betriebsinformatik (3740)

Publikation: Studienabschlussarbeit › Dissertation

Originalsprache	englisch
Publikationsstatus	Veröffentlicht - 2007

Treatment code (Nähere Zuordnung)

Experimental

Dieses zitieren

@phdthesis{711f8ca066c0490eb8e33fadbcd363a9,

title = "Improvement of Evolutionary Computation Approaches for Continuous Dynamical System Identification - Robustness and Performance Improvement of Standard Genetic Programming by Approximation, Multiple Shooting Methods, and Iterative Approaches",

author = "Thomas Buchsbaum",

year = "2007",

language = "English",

}