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Genetic Algorithm Design for Distribution Network Outfits Optimalization
Ondruš, Tomáš ; Skala, Petr (referee) ; Paar, Martin (advisor)
The work deals with genetic algorithms and their potential use in application software to optimize high voltage switching elements of distribution network. Theoretical part explains the basic concepts of genetic algorithms such as a gene, population and chromosome and basic principles of the development of genetic algorithms.. The main task of the thesis is to design the algorithm that will simulate the distribution of the sectionalizers by telecontrolled section switches or reclosers and analyze how to set the the parameters affecting the convergence speed of genetic algorithm. The basic parameters affecting the convergence of breeding, mutation probability, population size or using of elitism. The second goal is finding a suitable set of input parameters for the selected population sizes without and with using elitism. The results of the work determine the most appropriate settings for each generation and determining the approximate number of generations needed to find the best solution. The genetic algorithm applocation was tested on a less extensive distribution network with six switching elements
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Transformation of a Processor Description in CodAL to SystemC Structures
Ondruš, Tomáš ; Hynek, Jiří (referee) ; Přikryl, Zdeněk (advisor)
The goal of this thesis is to create a generator of simulators and hardware representation of application specific processors in a SystemC language. An aim of the first part is to create a wrapper layer compatible with SystemC TLM 2.0 that wraps an existing simulator to avail modeling of transaction oriented systems. The second part is a generator of a hardware representation for the processor that is suitable not only for logical synthesis, but also for the simulation on a cycle accurate level. A final result is a state of the art solution comparable to existing generators.
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Transformation of a Processor Description in CodAL to SystemC Structures
Ondruš, Tomáš ; Hynek, Jiří (referee) ; Přikryl, Zdeněk (advisor)
The goal of this thesis is to create a generator of simulators and hardware representation of application specific processors in a SystemC language. An aim of the first part is to create a wrapper layer compatible with SystemC TLM 2.0 that wraps an existing simulator to avail modeling of transaction oriented systems. The second part is a generator of a hardware representation for the processor that is suitable not only for logical synthesis, but also for the simulation on a cycle accurate level. A final result is a state of the art solution comparable to existing generators.
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Genetic Algorithm Design for Distribution Network Outfits Optimalization
Ondruš, Tomáš ; Skala, Petr (referee) ; Paar, Martin (advisor)
The work deals with genetic algorithms and their potential use in application software to optimize high voltage switching elements of distribution network. Theoretical part explains the basic concepts of genetic algorithms such as a gene, population and chromosome and basic principles of the development of genetic algorithms.. The main task of the thesis is to design the algorithm that will simulate the distribution of the sectionalizers by telecontrolled section switches or reclosers and analyze how to set the the parameters affecting the convergence speed of genetic algorithm. The basic parameters affecting the convergence of breeding, mutation probability, population size or using of elitism. The second goal is finding a suitable set of input parameters for the selected population sizes without and with using elitism. The results of the work determine the most appropriate settings for each generation and determining the approximate number of generations needed to find the best solution. The genetic algorithm applocation was tested on a less extensive distribution network with six switching elements
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