Thesis Details
Evoluční optimalizace analogových obvodů
The aim of this work was to create a system for optimisaton of specific analog circuits by evolution using multiple fitness functions. A set of experiments was run, and the results analyzed to evaluate the feasibility of evolutionary optimisation of analog circuits. A requirement for this goal is the study and choice of certain types of analog circuits and evolutionary algorithms. For the scope of this work, amplifiers and oscillators were chosen as target circuits, and genetic algorithms and evolutionary strategies as evolutionary algorithms. The motivation for this work is the ongoing effort to automate the design and optimisation of analog circuits, where evolutionary optimisation is one of the options.
Evolutionary optimisation, analogue circuits, amplifier, oscillator, evolutionary algorithm,Genetic algorithm, evolution strategy, fitness function, Pearson correlation coefficient, Darwin, Darwinian theory, SPICE, Ngspice.
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Horák Aleš, doc. RNDr., Ph.D. (FI MUNI), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT20220,
author = "Tom\'{a}\v{s} Mihulka",
type = "Master's thesis",
title = "Evolu\v{c}n\'{i} optimalizace analogov\'{y}ch obvod\r{u}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2017,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/20220/"
}