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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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Algorithms for forward and backward planning
Sluka, Filip ; Hromková, Ivana (referee) ; Simeonov, Simeon (advisor)
The thesis deals with production planning. It contains theoretical description of methods used for production planning and optimizing. Thesis describes bottleneck problems in production. It offers overview of ways to identify and analyze bottleneck influence to manufacturing process efficiency. Thesis proposes ways to eliminate bottlenecks using various algorithm types. It applies theoretical knowledges from optimization and graph theory to program creation that is focused on order delay and readjustment time minimizing. The program implements genetic algorithm.
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Prototype Verification of Modification of Evolutionary Algorithm
Švestka, Marek ; Rajnoha, Martin (referee) ; Šeda, Pavel (advisor)
This thesis is about evolutionary algorithms with a concrete solution for an Aircraft Landing Problem. The goal is to create a genetic algorithm for this task resolution, apply selected modifications and compare all outputs. The program runs with different selection methods which are further reviewed. Input data are taken from Operations research library for this task. The outcome of this thesis gives a closer look to evolutionary programming and it’s problem resolution.
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Analysis of selected gene variants in athletes - runners at 400 m
Šplíchalová, Dominika ; Petr, Miroslav (advisor) ; Šteffl, Michal (referee)
Title: Analysis of selected gene variants in athletes - runners at 400 m Objectives: This work aims to find out what the genetic profile of athletes - runners at 400 meters, who are working in lactate mode, looks like. Methods: A cross-sectional investigation involved 203 East European Caucasian males and was conducted collaboratively at the FTVS UK and Józef Piłsudski University of Physical Education in Warsaw (AWF Warsaw). The athletes, after a brief warm- up, participated in a single 30-second Wingate test. DNA samples were collected non-invasively through saliva swabs. Lactate levels were measured using an invasive approach. Results: In the polymorphisms rs4646994 gene ACE was found to have a significant difference in genotypic (p = 0.001, x2 = 14.90) and allelic (p = 0.004, x2 = 8.52) frequencies between the overall athlete group and the controls. A notable difference in the ACE gene showed the comparison of the genotypes (p = 0.001, x2 = 13.66) and between the alleles (p = 0.003, x2 = 8.89) between the control group and elite athletes. The last statistically significant difference was observed among the genotypes (p = 0.03, x2 = 6.79) between the sub-elite athletes and the control group. When assessing the genotypic and allelic frequencies for the polymorphisms rs1815739 in the ACTN3 gene, we...
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Conservation of populations on the edge of geographical distribution
Pešová, Lucie ; Sedláček, Ondřej (advisor) ; Šípek, Petr (referee)
Populations on the edge of the range are often considered less valuable for conservation with regard to core populations of the species. These populations are often small, isolated and less genetically variable, and are therefore more prone to extinction. On the other hand, there are some studies claiming that some peripheral populations could have genetically unique allels which could help them adapt to changing environmental conditions. They thus have a big speciation potential. Peripheral populations could also occur behind state borders, where the species has conservation status, despite the fact that it is a common species somewhere else in its range. Due to this contradiction, peripheral populations are a delicate topic of discussion in the scientific community. In this paper I summarized the features of populations on the edge and also factors which limit them. Furthermore, population dynamics of these populations and summary of the main genetic processes taking place in small populations are outlined here. Next there are arguments for and against conservation of populations on the edge. In conclusion I give model examples of species on the periphery, demonstrating their features and reasons for their possible conservation. Key words: population, conservation, peripheral, marginal, range...
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Canaan Dog and Dog Assistant Education
Rutová, Šárka ; Jančaříková, Kateřina (advisor) ; Pavlasová, Lenka (referee)
The topic of this thesis is Canaan dog including dog assistant education. The first part is theoretical and introduces the reader to the Canaan dog breed. The origin of this rare and very old breed is Izrael and first dogs were imported to the Europe and America in 60s of 20th century. The lack of Canaan dogs in Europe causes problems with breeding and transmission of genetic diseases. Especially in the Czech republic there is only few dogs. The teoretical part introduces a transmission of genetic diseases and other diseases. The practical part is focused on a creation of a genealogy of Canaan dogs in the Czech republic. Further I studied inbreeding. In the second part I studied the use of dog in education. The practical part are two education programs, which I created. The first training program is about dogs behaviour, it's also tested in practice and its completed results are part of the appendix. Pupils will learn important information about dogs, how to handle and understand a dog or information about a primitive breed like rare Canaan dog. The second education program is designed for high school students. The program is about inbreeding and includes text and worksheet. Key words: Canaan dog, genetic, heritage, genetic diseases of dogs, inbreeding, animal assistant education.
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Prototype Verification of Modification of Evolutionary Algorithm
Švestka, Marek ; Rajnoha, Martin (referee) ; Šeda, Pavel (advisor)
This thesis is about evolutionary algorithms with a concrete solution for an Aircraft Landing Problem. The goal is to create a genetic algorithm for this task resolution, apply selected modifications and compare all outputs. The program runs with different selection methods which are further reviewed. Input data are taken from Operations research library for this task. The outcome of this thesis gives a closer look to evolutionary programming and it’s problem resolution.
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Algorithms for forward and backward planning
Sluka, Filip ; Hromková, Ivana (referee) ; Simeonov, Simeon (advisor)
The thesis deals with production planning. It contains theoretical description of methods used for production planning and optimizing. Thesis describes bottleneck problems in production. It offers overview of ways to identify and analyze bottleneck influence to manufacturing process efficiency. Thesis proposes ways to eliminate bottlenecks using various algorithm types. It applies theoretical knowledges from optimization and graph theory to program creation that is focused on order delay and readjustment time minimizing. The program implements genetic algorithm.
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