Doctoral Thesis

Evolutionary Optimization of Control Algorithms

Final Thesis 12.34 MB Summary of Thesis 5.13 MB

Author of thesis: Ing. Roman Weisser, Ph.D.

Acad. year: 2009/2010

Supervisor: prof. Ing. Pavel Ošmera, CSc.

Reviewer's: The opponent will be displayed after his opinion is published.


The dissertation thesis deals with Evolution optimization of control algorithms. The first part of the thesis describes the principles and partial methods of evolution optimization methods especially those used in two-level transplant evolution method. Later the grammatical evolution method is described, which modified algorithm became impulse for creation of transplant evolution method. The transplant evolution method and its two-level modification are new evolutionary algorithms proposed in this work, which were used for optimization of structure and parameters of general controllers control algorithms. The transplant evolution algorithm and its extended two-level modification are described in detail in next chapters.

The proper settings of evolutionary algorithms are important for minimization the time of optimization and for finds results approaching the global optimum. For proper setting the parameters of differential evolution was created meta-evolution algorithm that is described in chapter named meta-evolution.

The basic concepts of control, chosen methods of system identification and controller parameters settings are described in next part. This part describes algorithms of digital controllers and some specific methods uses in digital control.

The demonstrations of control algorithm optimizations of various types of controllers are showed in experimental part. The optimized algorithms of general controllers are compared with various types of PSD controllers which were set by various algebraic methods or differential evolution for various models of systems.

In the conclusion of this work is stated a recommendation for further development of evolutionary optimization of controllers are focusing on parallel and distributed computing.


artificial intelligence, genetic algorithms, grammatical evolution, differential evolution, transplant evolution, two-level transplant evolution, optimization, controllers

Date of defence


Result of the defence

Defended (thesis was successfully defended)


Process of defence

DP se zabývá aplikací genetické evoluce na návrh regulátorů. Zavádí originální transplantační evoluci jako soubor velmi efektivních operátorů.

Language of thesis




Study field

Engineering Mechanics

Composition of Committee

prof. RNDr. Ing. Tomáš Březina, CSc. (předseda)
prof. Ing. Ivan Zelinka, Ph.D. (člen)
prof. RNDr. Ing. Miloš Šeda, Ph.D. (člen)
doc. RNDr. PaedDr. Eva Volná, Ph.D. (člen)
prof. RNDr. Ing. Jiří Šťastný, CSc. (člen)
prof. Ing. Ctirad Kratochvíl, DrSc. (člen)