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Discovery of Wireless Sensor Network Topology Using Genetic Algorithms
Dalecký, Štěpán ; Samek, Jan (referee) ; Zbořil, František (advisor)
The thesis deals with a design of the genetic algorithm that is able to discover the wireless sensor network topology using signal strength among particular sensors. At first, the thesis describes the theory of genetic algorithm and wireless sensor network. Subsequently, on the basis of this theory, the genetic algorithm serving for the wireless sensor network topology discovery has been designed. The thesis also describes important features of the algorithm implementation. In conclusion, the outcomes have been reviewed.
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Coupling of images
Nováček, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with coupling of non-overlapping images with square parts. The target of this thesis is a design of an algorithm for coupling of images based on color similarity of individual parts edges. A genetic algorithm has been chosen for coupling of images. The first part of this thesis lists the theory of image processing and genethic algorithms. The second part deals with applied procedures for image processing and with design of genetic algorithm. The last part is devoted to an evaluation of results of the applied algorithms.
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Coupling of images
Nováček, Petr ; Petyovský, Petr (referee) ; Richter, Miloslav (advisor)
The thesis deals with coupling of non-overlapping images with square parts. The target of this thesis is a design of an algorithm for coupling of images based on color similarity of individual parts edges. A genetic algorithm has been chosen for coupling of images. The first part of this thesis lists the theory of image processing and genethic algorithms. The second part deals with applied procedures for image processing and with design of genetic algorithm. The last part is devoted to an evaluation of results of the applied algorithms.
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Discovery of Wireless Sensor Network Topology Using Genetic Algorithms
Dalecký, Štěpán ; Samek, Jan (referee) ; Zbořil, František (advisor)
The thesis deals with a design of the genetic algorithm that is able to discover the wireless sensor network topology using signal strength among particular sensors. At first, the thesis describes the theory of genetic algorithm and wireless sensor network. Subsequently, on the basis of this theory, the genetic algorithm serving for the wireless sensor network topology discovery has been designed. The thesis also describes important features of the algorithm implementation. In conclusion, the outcomes have been reviewed.
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Analysis of Genetic Algorithm
Snášelová, Petra ; Žák, Jakub (referee) ; Zbořil, František (advisor)
This thesis deals with analysis of genetic algorithms. It is focused on various approaches to creation of new populations. A comparison between basic principles of operation of genetic algorithms and processes occurring in living organisms is drawn here. Some methods of application of particular steps of genetic algorithms are introduced and a suitability of the methods to certain types of problems is considered. The main goal in the thesis is to apply genetic algorithms in solving three types of optimization problems, namely the solution of functions with a single major extreme, functions with flat (slight) extreme and also functions with many local extremes.
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