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

Institute of Engineering and Business Informatics (3740)

Research output: Thesis › Doctoral Thesis

Original language	English
Publication status	Published - 2007

Treatment code (Nähere Zuordnung)

Experimental

Cite this

@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",

}