Thesis Details

Evolutionary Analogue Amplifier Optimisation

Bachelor's Thesis Student: Bielik Marek Academic Year: 2016/2017 Supervisor: Bidlo Michal, doc. Ing., Ph.D.
Czech title
Evoluční optimalizace analogových zesilovačů
Language
English
Abstract

This thesis demonstrates the capabilities of the evolutionary algorithms, namely the evo lution strategies, in the domain of the analog amplifiers design. The ngSPICE simulator is integrated into the implementation and it is used for the evaluation of the optimized solutions. There are various methods for evaluating amplifiers proposed in the thesis and also various experiments and their results which were used for the determination of the most optimal parameters for evolution strategies. The goal was to optimize the values of components of the single and two stage common emitter amplifiers. The result is a tool that provides the design of amplifiers with an arbitrary gain, which is within the bounds of the circuit's possibilities, without using any mathematical apparatus.

Keywords

artificial intelligence, evolutionary computation, evolution strategies, ngSPICE, SPICE, RInside, analog amplifier, fitness function, optimization

Department
Department of Computer Systems FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
14 June 2017
Reviewer
Zachariášová Marcela, Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Hliněná Dana, doc. RNDr., Ph.D. (DMAT FEEC BUT), člen
Matoušek Petr, doc. Ing., Ph.D., M.A. (DIFS FIT BUT), člen
Zachariášová Marcela, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
BIELIK, Marek. Evolutionary Analogue Amplifier Optimisation. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Bidlo Michal. Available from: https://www.fit.vut.cz/study/thesis/19450/
BibTeX 
@bachelorsthesis{FITBT19450,
    author = "Marek Bielik",
    type = "Bachelor's thesis",
    title = "Evolutionary Analogue Amplifier Optimisation",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "english",
    url = "https://www.fit.vut.cz/study/thesis/19450/"
}

Theses

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