Thesis Details
Evolutionary Analogue Amplifier Optimisation
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.
artificial intelligence, evolutionary computation, evolution strategies, ngSPICE, SPICE, RInside, analog amplifier, fitness function, optimization
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
@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/" }