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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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Optimization based on genetic algorithms for image registration
Horáková, Pavla ; Mézl, Martin (referee) ; Harabiš, Vratislav (advisor)
Diploma thesis is focused on global optimization methods and their utilization for medical image registration. The main aim is creation of the genetic algorithm and test its functionality on synthetic data. Besides test functions and test figures algorithm was subjected to real medical images. For this purpose was created graphical user interface with choise of parameters according to actual requirement. After adding an iterative gradient method it became of hybrid genetic algorithm.
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Emotional States of Humans and their Determination using Speech Record Analysis
Lněnička, Jakub ; Míča, Ivan (referee) ; Smékal, Zdeněk (advisor)
The aim of the diploma project is to find a method through which it will be possibleto classify the selected emotion from speech. At the beginning of the work deals with the description of the human body and their voice-generating operation. Furthermore, the text deals with the problem of the human voice into digital form.Great attention is paid to the parameters of the speech signal with an emphasis on describing the symptoms to help the selected emotion. The work deals with therecognition of emotions and a description of some of them. The main part is finding the best methods to reduce symptoms of segmental and suprasegmental speech utterances. The results of success was achieved by comparing the classification of selected emotions when using multiple methods and compare their results. The most important criterion in assessing the results ofthe reduction parameters of the speech signal, based on previous research in this area.
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Implementation of an evolutionary expert system
Bukáček, Jan ; Müller, Jakub (referee) ; Karásek, Jan (advisor)
This thesis is focused on working up evolutionals and genetics algorithms issues Especially for multiobjective algorithms VEGA, SPEA and NSGA – II. Thereinafter one of FrameWork working with genetics algorithms namely WWW NIMBUS. From this mentioned algorithms was selected VEGA algorithm for implementation in JAVA to preselected problem. Thereby problem is choice thick columns of profile according to predetermined criteria. Selected algorithm works on division of population into several groups and each group evaluates the resulting fitness function. Here is a sample implementation of this algorithm. Furthermore there is a example of working with FrameWork. In the next section are compared the results of generated progam with results that were obtained by FrameWork WWW NIMBUS. As for VEGA, and the Nimbus there are shown different results. The VEGA is presented also the development of individual fitness functions. Also, there are shown graphs, that can be obtained from NIMBUS. At the end of work is introduced the comparation of the results ane propose possible improvements.
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Neural networks and evolutionary algorithms
Vágnerová, Jitka ; Rychtárik, Milan (referee) ; Hrubeš, Jan (advisor)
Objective of this master's thesis is optimizing of neral network topology using some of evolutionary algorithms. The backpropagation neural network was optimized using genetic algorithms, evolutionary programming and evolutionary strategies. The text contains an application in the Matlab environment which applies these methods to simple tasks as pattern recognition and function prediction. Created graphs of fitness and error functions are included as a result of this thesis.
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Genetic Algorithms
Miček, David ; Pohl, Jan (referee) ; Honzík, Petr (advisor)
This thesis presents description of Genetic algorithm. The description begins with theory of complexity and following basic theory of genetic algorithm. Next part explains the principle of all three tasks – travelling salesman problem, knapsack problem and evolution of algorithm for five-in-a-row. The main focus was on developing the algorithm for five-in-a-row. The results were tested with other similar algorithms from internet. In case of travelling salesman problem and knapsack problem, the results were compared with gradient optimization methods.
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Modeling antennas of the VUT 100 aircraft
Starý, Vladimír ; Tobola,, Pavel (referee) ; Raida, Zbyněk (advisor)
The thesis is aimed to analyze parameters of antennas, and work out the computer, which can be used to the modeling of the radiation of antennas of the VUT 100 aircraft. First, used antennas are divided according to the operation frequencies, and the polarization. Second, a MATLAB program is developed and described. The program computes radiation patterns at different frequencies for the different location of antennas on the VUT aircraft. Finally, the MATLAB optimization program is develop and described. The program changes the position of antennas so that the requirements of aircraft producer can be met.
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