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Evolution algorithms for ultrasound perfusion analysis
Hemzalová, Zuzana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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Evolution algorithms for ultrasound perfusion analysis
Hemzalová, Zuzana ; Odstrčilík, Jan (referee) ; Mézl, Martin (advisor)
This thesis deals with the principles of ultrasonic perfusion analysis and methods for determining perfusion parameters. It examines Evolutionary algorithms and their ability to optimize the approximation of dilution curves from ultrasond tissue scannig. It compares the optimization performance of three evolutionary algorithms. Continuous genetic algorithm GA, algorithm SOMA and PSO. Methods are evaluated on simulated and clinical data.
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Nature inspired search algorithms and their applications
Neruda, Roman
Basic principles of evolutionary algorithms and genetic search of parameter spaces are described in this paper. We explain the approaches common for genetic algorithms, evolutionary strategies, evolutionary programming, genetic programming, swarm algorithms, and neuroevolution. Published in proceedings Analýza dat 2013. Statistické metody pro technologii a výzkum. Pardubice : TriloByte Statistical Software, 2013, p. 69-80. ISSN 1805-6903. Presented as invited talk at the conference Analýza dat 2013.
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