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Technical Analysis
Kosek, Lukáš ; Doubravský, Karel (referee) ; Novotná, Veronika (advisor)
This thesis deals with problems of the technical analyses and its usage during creation of the automated trading systems. Theoretical section explains the basic principles of functioning of the monetary market (Forex) and includes technical indicators. Portfolio of strategies, as output of this work, was applied onto monetary pairs of Euro/American dollar and British pound/American dollar. Computer program Adaptrade Builder was used for proposed commercial strategies with help of the genetic algorithms and subsequently tested on the MetaTrader 4 commercial platform.
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Design and Use of Automatic Trading System for Increasing Company's Capital
Kněžínek, Michal ; Suchomel, Michal (referee) ; Budík, Jan (advisor)
This diploma thesis discusses about the possibilities of investing in the capital market with a focus on the foreign exchange market. Analysis of the company, whose output is SWOT analysis, is focused on the economic justification of investments. The essence is the proposal of automatic trading systems that will automatically trade on the basis of information from the market and add value to ivested capital. This automatic trading systems are designed in analytic platform named MetaTrader and their parameters are optimized by genetic algorithms.
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Technical Analysis
Němec, Ondřej ; Dvořák, Zdeněk (referee) ; Novotná, Veronika (advisor)
The subject of my thesis is technical analysis - creation of an investment strategies. The theoretical part describes the theoretical background relating to technical analysis and indicators. The practical part map the current situation in the environment of investing in forex - comparing brokers, choice of platform, etc. The solution contains a description of the investment strategies that have been programmed in Meta Quotes Language 4 and tested and optimized using genetic algorithms in platform MetaTrader 4. In my thesis is also calculated the interdependence of investment strategies.
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The use of optimization in production planning
Pokorný, Pavel ; Rais, Karel (referee) ; Dostál, Petr (advisor)
The Master’s thesis deals with production scheduling in an industrial company. It uses the means of artificial intelligence to develop an appropriate production schedule in a generalized Flow-shop Programming problem. This problem can be solved by application which is a result of this thesis and was prepaired with use of the software Matlab 7.1 and its Genetic Algorithm and Direct Search toolbox. There is a part devoted to the use of advanced production systems (APS) and the concept of the operative production planning in praxis as well. The thesis pays attention to various optimization models in production scheduling and supply chain management too.
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Suppresion of distortion in iris images
Jalůvková, Lenka ; Štohanzlová, Petra (referee) ; Kolář, Radim (advisor)
This master`s thesis is focused on a suppression of a distorsion in iris images. The aim of this work is to study and describe existing degradation methods (1D motion blur, uniform 2D motion blur, Gaussian blur, atmospheric turbulence blur, and out of focus blur). Furthermore, these methods are implemented and tested on a set of images. Then, we designed methods for suppression of these distorsions - inverse filtration, Wiener filtration and iterative deconvolution. All of these methods were tested and evaluated. Based on the experimental results, we can conclude that the Wiener-filter restoration is the most accurate approach from our test set. It achieves the best results in both normal and iterative mode.
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Simulation model of waste collection for Network Simulator 3
Kolaja, Lukáš ; Mlýnek, Petr (referee) ; Fujdiak, Radek (advisor)
The goal of this diploma thesis is create an application for route optimalization for waste collection which is one of the technologies of smart cities. At first was described issue of smart cities focused to waste collection. The thesis describes the real deployment of smart waste collection using sensor network and was also designed its own model of smart waste collection. It is also described graph theory and related genetic algorithms which is suitable for waste collection optimalization. On that basics an application was made in C/C++ language which using a genetic algorithm to compute best possible path in graph which represents a map where waste is collected. By input data to application is vector image of evaluated graph in SVG data format.
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