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Continuous mathematical models of population dynamics
Pecka, Luboš ; Opluštil, Zdeněk (referee) ; Franců, Jan (advisor)
The aim of this thesis is to describe the most frequent models describing population dynamics and then to perform some numerical experiments in the MATLAB environment. These simulations should validate our theoretical results. The models are sorted from the basic models to the most complicated and are divided into the models which describe dynamics of one population and models of coexistence of two biological species. The master's thesis icludes also a program for drawing graphs and trajectories of solutions of models described in this thesis including a description of this MATLAB program.
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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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Evolutionary algorithms
Haupt, Daniel ; Polách, Petr (referee) ; Honzík, Petr (advisor)
The first part of this work deals with the optimization and evolutionary algorithms which are used as a tool to solve complex optimization problems. The discussed algorithms are Differential Evolution, Genetic Algorithm, Simulated Annealing and deterministic non-evolutionary algorithm Taboo Search.. Consequently the discussion is held on the issue of testing the optimization algorithms through the use of the test function gallery and comparison solution all algorithms on Travelling salesman problem. In the second part of this work all above mentioned optimization algorithms are tested on 11 test functions and on three models of placement cities in Travelling salesman problem. Firstly, the experiments are carried out with unlimited number of accesses to the fitness function and secondly with limited number of accesses to the fitness function. All the data are processed statistically and graphically.
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Population models in biology
Vadkerti, Kristián ; Archalous, Tomáš (referee) ; Jiřík, Radovan (advisor)
In this work I focused on a program creation to demonstrate population models in biology, concretely in Matlab program environment. The aim of by myself created graphic interface is modeling from directly given parameters or parameters gained by appropriately chosen optimalisation methods for concreate population model type from loaded real data, whereas I efforted to create such a model, that fits the most approximately with real datas.
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Genetic Algorithms - Multi-core CPU Implementation
Studnička, Vladimír ; Kuba, Martin (referee) ; Matoušek, Radomil (advisor)
his diploma thesis deals with creating the most universal library of genetic algorithms in C++, as much as possible, implemented with the certain number of universal operators, and then with testing created library on some examples. Library must support multi-core processors, implementation will be done over OpenMP. The library will be tested on three examples in all. The first two examples are mathematical functions, that are used just for genetic algorithms testing. Last problem for test is N-Queens problem. Finally we will use genetic algorithms to try find solution for Eternity II puzzle, there is declared a 2 million bounty for full solution.
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Modeling of population dynamics
Pecka, Luboš ; Tomášek, Petr (referee) ; Franců, Jan (advisor)
The aim of this thesis is to describe the basic models of the population dynamics. In the first part of the thesis, the models which describe the dynamic of one population are mentioned, in the second part there are models of the coexistence of two biological kinds. We always begin with the description of the basic models and we try gradually to create models that are more realistic. In the last section further possibilities of pecification for the models, which can also be taken into account, are indicated.
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The History of Yersinia Pestis in Europe from the Perspective of Ancient DNA
Nováková, Veronika ; Ehler, Edvard (advisor) ; Vojíř, Karel (referee)
je gramnegativní bakterie, která byla na konci devatenáctého století odhalena jako původce moru. je blízce příbuzná , od níž se liší přítomností určitých virulentních faktorů. Právě virulentní faktory umožňují efektivní přežití hmyzích vektoru, kterým je blecha. Blecha poté zajišťuje úspěšný přenos bakterie na obratlovce, což je nejčastěji hlodavec, případně člověk. Bakterie je geneticky vybavena tak, aby unikla imunitnímu systému. Během lidské historie proběhly tři morové pandemie, Justiniánský mor, Černá smrt a moderní pandemie, u všech z nich byla pomocí aDNA z kosterních pozůstatků potvrzena přítomnost . Mor způ době bronzové. Sekvenace aDNA a zdokonalování molekulárních metod při studiu historických pandemií se jeví jako vhodná strategie pro pochopení možných budoucích pandemií. Pomocí aDNA lze zjistit nejen fylogenezi patogenů, ale je možné i sledovat změny genofondu populace napříč historií a jak v migracemi, tak i možnými změnami způsobenými samotným KLÍČOVÁ SLOVA mor, bakterie, migrace, populace, mikrobiologie, starodávná DNA
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The implications of China’s aging population to the nation and the world
Lashkova, Ekaterina
Population changes have been identified as among the global challenges in recent decades. While advanced economies have experienced an ageing population, underdeveloped economies have witnessed a surge in the birth rate. Arguably, this issue has been a Chinese issue since the second half of the twentieth century. Against this backdrop, this bachelor thesis tries to assess the dynamics and implications of the size and age structure of the Chinese population within the country and the World. Secondary data was obtained from reputable sources for the analysis. Using a descriptive approach, the findings show that China's ageing population brings opportunities and difficulties for the country and the rest of the world. There are chances for innovation and growth in industries like elder care and technology, although there are enormous economic and societal challenges, such as a diminishing workforce and growing healthcare expenditures. The demographic trends in China also affect the rest of the world, especially in East Asia, where ageing populations are a common worry. Ultimately, this thesis helps us better comprehend how China's ageing population affects the country and the rest of the world. It emphasizes the requirement for legislative actions to address the problems and seize the changes by demographic shifts.
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Evaluation of the physical basis of the de facto state in the case of South Ossetia using Bjørn Møller's definition of statehood.
Dumpík, Marek ; Horák, Slavomír (advisor) ; Šír, Jan (referee)
This bachelor thesis deals with de facto states, precisely the case of South Ossetia, which it assesses in terms of its statehood. Bjørn Møller's definition of statehood, which distinguishes between three dimensions of the state - institutional, conceptual, and physical basis - was used to assess the South Ossetian case. This bachelor thesis addresses the physical base dimension: the economy, territory, and population. The thesis also uses the approach of strong, weak, and failing states, which is used to define the indicators more precisely under study for each component of the physical base. The thesis is divided into three main sections. In the first theoretical part, the theoretical approaches used in the thesis are introduced, and with their help, the indicators under study are proposed. The second part then presents an overview of key historical events, which provides the necessary context for the third part, which deals with the physical base of South Ossetia itself. The aim of the paper is then to answer the question of whether South Ossetia can meet the requirements placed on the state in the dimension of the physical base.
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