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The Impact of Candidate Solution Mappings on Evolutionary Algorithm Efficiency
Hrbáček, Jiří ; Korček, Pavol (referee) ; Křivánek, Jan (advisor)
The Concern of the present study is summarizing knowledges in the theory of mapping candidate solutions , analysis and application of evolutionary algorithms. The study provides summary of the evolutionary algorithms, classification and application. The target of the study is links gained knowledge from sectionS of ; evolutionary algorithms, mapping candidate solutions and creations of a system that will demonstrate and influence mapping the efficiency of the evolutionary algorithms succesfully.
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The introduction of diagnosis of new bacterial pathogens Inquilinus and Pandoraea isolated from patients with cystic fibrosis and determining their sensitivity to antibiotics
Šulcová, Romana ; Melter, Oto (advisor) ; Nyč, Otakar (referee)
Cystic fibrosis is one of the most common autosomal recessive hereditary disease. Nowadays, people, with this disease, because early diagnosis and treatment of other associated symptoms a better prognosis than a few years ago. CF is a disease that is subject to mutation of the CFTR (Cystic Fibrosis Transmembrane Conductance Regulator) on the seventh chromosome. Defect in the CFTR protein leads to failure of resorption and secretion of electrolytes chloride channel and thereby creating viscous mucus in the lungs, which is the main cause of chronic bacterial infections of the lower airways. Among the most common pathogens causing severe respiratory infections in CF patients include: Staphylococcus aureus, Pseudomonas aeruginosa, Burkholderia cepacia complex. In patients with CF is now showing in the airways of new bacterial species whose biological properties are not yet known and their role in the etiopathogenesis of the disease and epidemiology are not exactly known. In these days their detection is used by specific amplification methods, or sequencing of the 16S rRNA gene. Emerging pathogens such as the genus Pandoraea and Inguilinus that belong non-fermenting Gram-negative groups in the rods, and therefore are often exchange for other bacterial species that are phenotypically similar to them. In the...
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The Impact of Candidate Solution Mappings on Evolutionary Algorithm Efficiency
Hrbáček, Jiří ; Korček, Pavol (referee) ; Křivánek, Jan (advisor)
The Concern of the present study is summarizing knowledges in the theory of mapping candidate solutions , analysis and application of evolutionary algorithms. The study provides summary of the evolutionary algorithms, classification and application. The target of the study is links gained knowledge from sectionS of ; evolutionary algorithms, mapping candidate solutions and creations of a system that will demonstrate and influence mapping the efficiency of the evolutionary algorithms succesfully.
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