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Evolutionary Design of Quantum Operator
Kraus, Pavel ; Mrázek, Vojtěch (referee) ; Bidlo, Michal (advisor)
The goal of this thesis is to utilize various evolutionary algorithms for quantum operator design in the form of unitary matrices in direct representation. Evolution strategy, differential evolution, Particle Swarm Optimization and artificial bee colony algorithms were chosen. In this thesis, the third and fourth algorithms were used for the first time in relation to quantum operator design. The experiments have shown that the utilization of direct representation gives results of acceptable quality.
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Spectrum sensing and multicarrier systems optimization for cognitive radio
Povalač, Karel ; Šimša, Jan (referee) ; Galajda,, Pavol (referee) ; Maršálek, Roman (advisor)
The doctoral thesis deals with spectrum sensing and subsequent use of the frequency spectrum by multicarrier communication system, which parameters are set on the basis of the optimization technique. Adaptation settings can be made with respect to several requirements as well as state and occupancy of individual communication channels. The system, which is characterized above is often referred as cognitive radio. Equipments operating on cognitive radio principles will be widely used in the near future, because of frequency spectrum limitation. One of the main contributions of the work is the novel usage of the Kolmogorov – Smirnov statistical test as an alternative detection of primary user signal presence. The new fitness function for Particle Swarm Optimization (PSO) has been introduced and the Error Vector Magnitude (EVM) parameter has been used in the adaptive greedy algorithm and PSO optimization. The dissertation thesis also incorporates information about the reliability of the frequency spectrum sensing in the modified greedy algorithm. The proposed methods are verified by the simulations and the frequency domain energy detection is implemented on the development board with FPGA.
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Modeling HF diode in Comsol Multiphysics
Truhlář, Michal ; Pokorný, Michal (referee) ; Raida, Zbyněk (advisor)
This work brings understanding effects in semiconductor diode by rise P-N junction. Attention devote to suggested high frequency semiconductor diode in program Comsol Multiphysics 3.3.Atention is concentrated to optimization model of diode so as volt-ampere characteristic resembles to real characteristics of diodes. Is tried to find a solution to entourage P-N devolution, where this program sensitive on changes geometry’s barriers of these is different types P-N. In work is summary of treatment and advancing by divining and by optimization of high frequency diode. First part describes semiconductor diode like component used in the electrotechnics, which explains rise, descriptions, using and types of used diodes. Second part includes progress of scaling concrete semiconductor high frequency silicon diode. In this work is braining to optimization model of diode to real and research parameters, which influence her descriptions. In last part of my bachelor’s work was created a simple program in Matlab for global optimization. This program by connected with model of diode and check up possibilities of optimizations their parameters
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Optimization of a Racing Car Setup within TORCS Simulator
Srnec, Pavel ; Jaroš, Jiří (referee) ; Pospíchal, Petr (advisor)
This master's thesis is about nature optimalization technigues. Evolution algortihms together with main thesis topic, Particle Swarm Optimization, is introduced in the following chapter. Car setup and simulator TORCS are introduced in next chapter. Design and implementation are introduced in next chapters. Destination of t master's thesis is finding optimal car setups for different curcuits.
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Particle Swarm Optimization Library
Hruban, Milan ; Strnadel, Josef (referee) ; Bidlo, Michal (advisor)
The aim of this thesis is to develop a library that is able to solve optimization tasks using PSO. The library is implemented using Kotlin and is designed to achieve high extensibility and usability. Moreover, a tool for processing and statistical analysis of experiments performed using the library is implemented by means of the Jupyter Notebook environment. The utilization of these tools creates a setup suitable for experimenting with the current and developing new variations of the PSO algorithm.
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PSO-Particle Swarm Optimization
Němeček, Patrik ; Jaroš, Jiří (referee) ; Schwarz, Josef (advisor)
This work deals with particle swarm optimization. The theoretic part briefly describes the problem of optimization. The considerable part focuses on the overall description of particle swarm optimization (PSO). The principle, behavior, parameters, structure and modifications of PSO are described. The next part of the work is a recherché of variants of PSO, including hybridizations of PSO. In practical part the dynamic problems are analyzed and new designed algorithm for dynamic problems AHPSO is described (what it is based on, what was inspired, what elements are used and why). Algorithm is executed on the set of tasks (Moving peaks benchmark) and compared with the best publicly available variants of algorithm PSO on dynamic problems so far.
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Solving Optimization Tasks by PSO Algorithms
González, Marek ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
In this document we describe the Particle Swarm Optimization (PSO) and discuss its performance in solving optimization tasks. PSO is stochastic population-based computational method mainly focused on continuous optimization. We give an introduction to the field of optimization and provide a theoretical description of the PSO method. We have implemented the method in C/C++ and investigated the best working parameter set. The implementation is evaluated on clustering, travelling salesman problem, and function minimization case studies.
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Modelling and Assessment of Driver Behaviour Using Fuzzy Logic
Radvanský, Martin ; Mihálik, Ondrej (referee) ; Jirgl, Miroslav (advisor)
The work contains a research of mathematical modeling with a focus on the driver's behavior while driving. The following text contains the basic statistical processing of data obtained from the driving simulator for a total of 38 drivers. Subsequently, possible approaches to the use of fuzzy systems for modeling driver behavior are proposed. The main part of the work is focused on the verification of three hypotheses related to the use of fuzzy inference systems to model driver behavior.
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Modeling of Linear Distortion of Audio Devices
Vrbík, Matouš ; Sysel, Petr (referee) ; Schimmel, Jiří (advisor)
Methods used for correction and modeling of frequency response of sound devices are discussed in this paper. Besides classic methods of digital filter design, more advanced and complex numerial methods are reviewed, Prony and Steiglitz-McBride in particular. This paper focuses on structure utilizing parallel sections of second-order IIR filters. Methods for calculating coefficients of this structure are presented and later implemented. For selected method, utilizing dual frequency warping, an interative algorithm for automatic calculation of parameters necessary to filter design is implemented - so called Particle Swarm Optimization. Six ways of evaluation filter design precision are presented and the results are compared. Functions realizing filter design are implemented in C++, MATLAB and Python. A VST module simulating the filter in real time is also provided.
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