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Nonlinear Control of Complex Systems by Utilization of Evolutionary Approaches
Minář, Petr ; Ošmera, Pavel (referee) ; Oplatková,, Zuzana Komínková (referee) ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
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Nonlinear Control of Complex Systems by utilization of Evolutionary Approaches
Minář, Petr ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
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Video stabilization using global optimization algorithms
Bartoš, Patrik ; Říha, Kamil (referee) ; Kříž, Petr (advisor)
This bachelor thesis focuses on video stabilization using CRS (Controlled Random Search) and GA (Genetic Algorithm) optimization algorithms. It describes registration process, geometrical transformations, interpolation methods, similarity criteria and optimization algorithms. It also briefly describes structure of the program created in MATLAB. Finally it contains results of achieved stabilization.
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Evolutionary Design of Artificial Neural Network
Jílek, Tomáš ; Šperka, Svatopluk (referee) ; Pospíchal, Petr (advisor)
Focus of this bachelor thesis is on Neural networks, Genetic algorithms and Evolutionary Design. First part of thesis describes Neural networks, their history, training and ways of use and Genetic algorithms, their components, operators and practical application. Next part is devoted to prediction of time series, specifically prediction with use of Neural networks. This is followed by practical part of work, implementation of experiments with Evolutionary design of Neural networks for prediction in which currency exchange rates of several countries are used as a predicted time series. Results and discussion about further development of thesis are described in last chapter.
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The GPU-Based Acceleration of the Genetic Algorithm
Pospíchal, Petr ; Šimek, Václav (referee) ; Jaroš, Jiří (advisor)
This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. First chapter deeply analyses Genetic algorithms and corresponding topics like population, chromosome, crossover, mutation and selection. Next part of the thesis shows GPU abilities for unified computing using both DirectX/OpenGL with Cg and specialized GPGPU libraries like CUDA. The fourth chapter focuses on design of GPU implementation using CUDA, coarse-grained and fine-grained GAs are discussed, and completed by sorting and random number generation task accelerated by GPU. Next chapter covers implementation details -- migration, crossover and selection schemes mapped on CUDA software model. All GA elements and quality of GPU results are described in the last chapter.
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Traveling Salesman Problem
Šůstek, Martin ; Snášelová, Petra (referee) ; Zbořil, František (advisor)
This thesis is focused on modification of known principles ACO and GA to increase their performance. Thesis includes two new principles to solve TSP. One of them can be used as an initial population generator. The appendix contains the implementation of the application in Java. The description of this application is also part of the thesis. One part is devoted to optimization in order to make methods more efficient and produce shorter paths. In the end of the thesis are described experiments and their results with different number of places from 101 up to 3891.
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Thermal Desorption Spectroscopy (TDS) and its Application for Research of Surface Processes
Potoček, Michal ; Čech, Vladimír (referee) ; Pavlík, Jaroslav (referee) ; Dub, Petr (advisor)
ermal desorption spectroscopy (TDS) is a common method for surface analysis of adsorbed molecules. In chapter 1 the work deals with the theoretical background of this method and shows the principles of a desorption process influenced by subsurface diffusion. Chapter 2 first shows application of TDS for detection of surface molecules and determination of binding energy.Experiments were mainly focused on ditermination of surface adsorbents and impurities on Si wafers. The second part of chapter 2 describes desorption of atoms of a Ga layer on Si surface and their subsurface diffusion. A Ga diffusion process was also observed by with secondary ion mass spectrometry (SIMS) and numerically simulated.
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Application of metallic materials for selective growth
Němeček, Tomáš ; Rezek, Bohuslav (referee) ; Čechal, Jan (advisor)
The Si(100) surface and Ga surface phases up to 1 ML on their oxidation have been studied by XPS and LEED. The selective growth of Ga on the SiO2/Si structures fabricated by EBL has been analyzed using SEM and AFM methods. It was proved that Ga clusters grow in structures beside the oxide. The structure of alumina on Ni3Al(111) and NiAl(110) substrates was fully determined by combining the results of STM measurements and DFT simulations. It was determined the alumina/NiAl(110) does not form a suitable template for ordered Fe and Co clusters growth. However, the next research confirmed the alumina/Ni3Al(111) forms template appropriate to clusters growth purpose.
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Sequential growth of GaN nanocrystals on SiO2 substrate modified by FIB method
Flajšmanová, Jana ; Voborný, Stanislav (referee) ; Mach, Jindřich (advisor)
This bachelor's thesis deals with the selective growth of gallium (Ga) and gallium nitride (GaN). In theoretical part, there is a brief description of growth of ultrathin films with respect to GaN and their manufacturing. Experimental part is aimed to the deposition of Ga and GaN on silicon substrates Si(1 1 1). Substrates with the native silicon dioxide layer (SiO2) were modified by focused ion beam (FIB). GaN was deposited by pulsed deposition followed by postnitridation. Prepared samples were studied by atomic force microscope (AFM), X-ray photoelectron spectroscopy (XPS) and scanning electron microscope (SEM).
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Fabrication of Nanostructures Using Atomic Force Microscopy
Doupal, Antonín ; Škoda, David (referee) ; Bartošík, Miroslav (advisor)
This bachelor thesis deals with fabrication of nanostructures using atomic force microscopy. The theoretical part gives a brief introduction into atomic force microscopy and local anodic oxidation and it is based on literature retrieval. The experimental part is concentrated on investigation of influence of operational parameters (tip-sample voltage, speed of the tip) on dimensions of LAO nanostructures on Si(111). Further the selective growth of cobalt and gallium on such oxide nanostructures is observed and analysed.
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