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Teses / dissertações sobre o tema "Genetic algoritms"

Autor: Grafiati

Publicado: 4 de junho de 2021

Última modificação: 26 de julho de 2025

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1

Němec, Jan. "Efektivita evolučních algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-242045.

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This master's thesis is focused on evolutionary algorithms. The goal of this thesis is to chooche a proper algorithm which will solve a chosen problem. In this case the chosen algorithm is the genetic algorithm and the chosen problem is the travelling salesman problem. The result of this thesis will be implementation of the algorithm, finding the proper setup and lastly the measurment of the results for various input data.

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Anisenia, Andrei. "Stochastic Search Genetic Algorithm Approximation of Input Signals in Native Neuronal Networks." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/26220.

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The present work investigates the applicability of Genetic Algorithms (GA) to the problem of signal propagation in Native Neuronal Networks (NNNs). These networks are comprised of neurons, some of which receive input signals. The signals propagate though the network by transmission between neurons. The research focuses on the regeneration of the output signal of the network without knowing the original input signal. The computational complexity of the problem is prohibitive for the exact computation. We propose to use a heuristic approach called Genetic Algorithm. Three algorithms are develope

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Rezende, Rodrigo Alvarenga. "Desenvolvimento de processos para a aplicação do alginato na biofabricação." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266851.

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Orientadores: Rubens Maciel Filho, Paulo Jorge da Silva Bártolo<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Química<br>Made available in DSpace on 2018-08-17T08:33:25Z (GMT). No. of bitstreams: 1 Rezende_RodrigoAlvarenga_D.pdf: 29746268 bytes, checksum: 24e72154795e591bf70b4fc339cf0127 (MD5) Previous issue date: 2010<br>Resumo: A busca por soluções que resgatem a saúde e a dignidade de vítimas de acidentes ou com problemas de saúde, como perda ou danos de órgãos, tem motivado uma evolução acelerada da biofabricação. Novos materiais e técnicas de fabricaç

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Silva, Ricardo Coelho. "Contribuições ao estudo de programação não-linear com incertezas." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261703.

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Orientadores: Akebo Yamakami, Luiza Amalia Pinto Cantão<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-05T00:06:55Z (GMT). No. of bitstreams: 1 Silva_RicardoCoelho_M.pdf: 524540 bytes, checksum: f7f63ffea96b8bbf8897b3c3f27fc427 (MD5) Previous issue date: 2005<br>Resumo: Neste trabalho foram desenvolvidos alguns métodos iterativos e algoritmos meta-heurísticos, adaptados de modelos clássicos, que solucionam problemas de programação não-linear com parâmetros fuzzy na função objetivo e no con

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5

Aguiar, Marilton Sanchotene de. "Análise formal da complexidade de algoritmos genéticos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1998. http://hdl.handle.net/10183/25941.

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O objetivo do trabalho é estudar a viabilidade de tratar problemas de otimização, considerados intratáveis, através de Algoritmos Genéticos, desenvolvendo critérios para a avaliação qualitativa de um Algoritmo Genético. Dentro deste tema, abordam-se estudos sobre complexidade, classes de problemas, análise e desenvolvimento de algoritmos e Algoritmos Genéticos, este ultimo sendo objeto central do estudo. Como produto do estudo deste tema, é proposto um método de desenvolvimento de Algoritmos Genéticos, utilizando todo o estudo formal de tipos de problemas, desenvolvimento de algoritmos aproxim

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Victorino, Igor Ricardo de Souza. "Otimização de um reator industrial de produção de alcool ciclico utilizando algoritmos geneticos." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267417.

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Orientador: Rubens Maciel Filho<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica<br>Made available in DSpace on 2018-08-05T16:58:49Z (GMT). No. of bitstreams: 1 Victorino_IgorRicardodeSouza_D.pdf: 14787602 bytes, checksum: 301a75422a3abe39a4a0cf4033a18eae (MD5) Previous issue date: 2005<br>Resumo: Nas últimas décadas, com o aumento da competitividade do mercado mundial (redução de custos, preços, aumento da produtividade e eficiência dos processos produtivos), houve um grande interesse em aperfeiçoar e otimizar os diversos processos de variadas plantas

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7

Bortel, Martin. "Evoluční algoritmy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219807.

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Thesis describes main attributes and principles of Evolutionary and Genetic algorithms. Crossover, mutation and selection are described as well as termination options. There are examples of practical use of evolutionary and genetic algorithms. Optimization of distribution routes using PHP&MySQL and Google Maps API technologies.

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Bland, Ian Michael. "Generic systolic arrays for genetic algorithms." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.312529.

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Staurovská, Jana. "Nástroj pro vizuální analýzu evoluce obvodů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236483.

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The main goal of the master's thesis is to compose a study on cartesian genetic programming with focus on evolution of circuits and to design a concept for visualisation of this evolution. Another goal is to create a program to visualise the circuit evolution in cartesian genetic programming, its generations and chromosomes. The program is capable of visualising the changes between generations and chromosomes and comparing more chromosomes at once. Several user cases had been prepared for the resulting program.

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10

Kolářová, Jana. "Evoluční algoritmy pro ultrazvukovou perfúzní analýzu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401037.

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This master´s thesis is focused on the application of evolutionary algorithms for interleaving data obtained by ultrasound scanning of tissue. The interleaved curve serves to estimate perfusion parameters, thus allowing to detect possible pathophysiology in the scanned area. The theoretical introduction is devoted to perfusion and its parameters, contrast agents for ultrasonic application, ultrasonic modality scanning, optimization, evolutionary algorithms in general and two selected evolutionary algorithms - genetic algorithm and bee algorithm. These algorithms were tested on noisy data obtai

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Prado, Pedro Felipe do. "Desenvolvimento e avaliação de algoritmos para composição dinâmica de web services baseada em QoS." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092012-104600/.

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Esta dissertação de mestrado aborda a Composição de Web services baseada em atributos de Qualidade de Serviço (CWSbQ). Foi selecionado o domínio de sistemas de e-commerce, por se tratar de uma área em franca expansão, tanto no cenário nacional como internacional. Além disso, os sistemas de e-commerce podem se beneficiar da CWSbQ devido à sua interoperabilidade e atendimento aos requisitos de qualidade de serviço de seus clientes. Foram implementados dez algoritmos para resolver esse problema, usando várias técnicas diferentes, sendo elas: busca aleatória, busca exaustiva, busca heurística, bus

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12

Hnízdilová, Bohdana. "Registrace ultrazvukových sekvencí s využitím evolučních algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442502.

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This master´s thesis deals with the registration of ultrasound sequences using evolutionary algorithms. The theoretical part of the thesis describes the process of image registration and its optimalization using genetic and metaheuristic algorithms. The thesis also presents problems that may occur during the registration of ultrasonographic images and various approaches to their registration. In the practical part of the work, several optimization methods for the registration of a number of sequences were implemented and compared.

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Ondráček, Pavel. "Optimalizační techniky v obrazových aplikacích." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442498.

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This thesis deals with methods for optimization in image processing. There is described some of optimization techniques and some applications in image processing. There is also described detailed procedure and realization of bee algorithm, genetic algorithm, PSO algorithm and their realization in image registration, matched filtering, image segmentation and image reconstruction. Algorithms and their efficiencies are compared in the particular application for image processing.

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14

Hayes, Christina Savannah Maria. "Generic properties of the infinite population genetic algorithm." Diss., Montana State University, 2006. http://etd.lib.montana.edu/etd/2006/hayes/HayesC0806.pdf.

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Harris, Steven C. "A genetic algorithm for robust simulation optimization." Ohio : Ohio University, 1996. http://www.ohiolink.edu/etd/view.cgi?ohiou1178645751.

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Mališ, Radim. "Evoluční řešení Rubikovy kostky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-237031.

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This thesis deals with an evolutionary solving of the Rubik's cube. The worldwide known puzzle has been for several decades not only a toy for children and adults, but also almost a lifestyle for crowds of fans and definitely a big challenge in the world of computation, where scientists seek to find an effective automated solution. The potential for its solution could also be borne by evolutionary algorithms. The author of this thesis has developed an application employing, apart from genetic algorithms, also many advanced technics, such as linear genetic programming or local search. The goal

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Hejtmánek, Michal. "Užití genetického programování v návrhu digitálních obvodů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235950.

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The goal of this work was the study of evolutionary algorithms and utilization of them for digital circuit design. Especially, a genetic programming and its different manipulation with building blocks is mentioned in contrast to a genetic algorithm. On the basis of this approach, I created and tested a hybrid method of electronic circuit design. This method uses spread schemes according to the genetic algorithm for the pattern problems witch are solved by the genetic programming. The method is more successful and have faster convergence to a solution in difficult electronic circuits design tha

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18

Badáň, Filip. "Evoluční algoritmy v návrhu konvolučních neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403206.

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This work focuses on automatization of neural network design via the so-called neuroevolution, which employs evolutionary algorithms to construct artificial neural networks or optimise their parameters. The goal of the project is to design and implement an evolutionary algorithm which can be used in the process of designing and optimizing topologies of convolutional neural networks. The effectiveness of the proposed framework was experimentally evaluated on tasks of image classification on datasets MNIST and CIFAR10 and compared with relevant solutions. The results showed that neuroevolution h

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Snášelová, Petra. "Analýza genetických algoritmů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236206.

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This thesis deals with analysis of genetic algorithms. It is focused on various approaches to creation of new populations. A comparison between basic principles of operation of genetic algorithms and processes occurring in living organisms is drawn here. Some methods of application of particular steps of genetic algorithms are introduced and a suitability of the methods to certain types of problems is considered. The main goal in the thesis is to apply genetic algorithms in solving three types of optimization problems, namely the solution of functions with a single major extreme, functions wit

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20

Hurta, Martin. "Koevoluční algoritmy a klasifikace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445529.

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The aim of this work is to automatically design a program that is able to detect dyskinetic movement features in the measured patient's movement data. The program will be developed using Cartesian genetic programming equipped with coevolution of fitness predictors. This type of coevolution allows to speed up a design performed by Cartesian genetic programming by evaluating a quality of candidate solutions using only a part of training data. Evolved classifier achieves a performance (in terms of AUC) that is comparable with the existing solution while achieving threefold acceleration of the lea

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21

Carvalho, Marcia Braga de. "Aplicações de meta-heuristica genetica e fuzzy no sistema de colonia de formigas para o problema do caixeiro viajante." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261876.

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Orientador: Akebo Yamakami<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-08T23:52:00Z (GMT). No. of bitstreams: 1 Carvalho_MarciaBragade_M.pdf: 2154346 bytes, checksum: caafd847980349294a73d2ad38d6414c (MD5) Previous issue date: 2007<br>Resumo: Dentre as várias técnicas heurísticas e exatas existentes para a resolução de problemas combinatórios, os algoritmos populacionais de otimização por colônia de formigas e genéticos têm se destacado devido à sua boa performance. Em especial os algor

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Komínek, Jan. "Heuristické algoritmy pro optimalizaci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230306.

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This diploma thesis deals with genetic algorithms and their properties. Particular emphasis is placed on finding the influence of mutation and population size. Genetic algorithms are applied on inverse heat conduction problems (IHCP) in the second part of the thesis. Several different approaches and coding methods were tested. Properties of genetic algorithms were improved by definition of two new genetic operators – manipulation and sorting. Reported theoretical findings were tested on the real data of inverse heat conduction problem. The library for easy implementation of GA for solving gene

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Miček, David. "Genetické algoritmy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218215.

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This thesis presents description of Genetic algorithm. The description begins with theory of complexity and following basic theory of genetic algorithm. Next part explains the principle of all three tasks – travelling salesman problem, knapsack problem and evolution of algorithm for five-in-a-row. The main focus was on developing the algorithm for five-in-a-row. The results were tested with other similar algorithms from internet. In case of travelling salesman problem and knapsack problem, the results were compared with gradient optimization methods.

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Stuchlý, Karel. "Vliv rotoru na účinnost malého asynchronního motoru." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377095.

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The aim of this master thesis is optimization of the rotor in the terms of efficiency. An analysis of the effects of rotor parameters is performed by RMXPRT. A genetic algorithm is created to find the optimal solution. Solutions are evaluated and adjusted according to the results. Measurements on the actual machine are performed and evaluated to verify the functionality of the simulation models.

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Maciel, Cristiano Baptista Faria. "A memetic algorithm for logistics network design problems." Master's thesis, Instituto Superior de Economia e Gestão, 2014. http://hdl.handle.net/10400.5/8601.

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Mestrado em Decisão Económica e Empresarial<br>Neste trabalho, um algoritmo memético é desenvolvido com o intuito de ser aplicado a uma rede logística, com três níveis, múltiplos períodos, seleção do meio de transporte e com recurso a outsourcing. O algoritmo memético pode ser aplicado a uma rede logística existente, no sentido de otimizar a sua configuração ou, se necessário, pode ser utilizado para criar uma rede logística de raiz. A produção pode ser internalizada e é permitido o envio direto de produtos para os clientes. Neste problema, as capacidades das diferentes infraestruturas podem s

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26

Hulva, Jiří. "Koevoluční algoritmus pro úlohy založené na testu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236019.

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This thesis deals with the usage of coevolution in the task of symbolic regression. Symbolic regression is used for obtaining mathematical formula which approximates the measured data. It can be executed by genetic programming - a method from the category of evolutionary algorithms that is inspired by natural evolutionary processes. Coevolution works with multiple evolutionary processes that are running simultaneously and influencing each other. This work deals with the design and implementation of the application which performs symbolic regression using coevolution on test-based problems. The

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Belešová, Michaela. "Aplikace evolučního algoritmu při tvorbě regresních testů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236142.

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This master thesis deals with application of an evolutionary algorithm in the creation of regression tests. In the first section, description of functional verification, verification methodology, regression tests and evolutionary algorithms is provided. In the following section, the evolutionary algorithm, the purpose of which is to achieve reduction of the number of test vectors obtained in the process of functional verification, is proposed. Afterwards, the proposed algorithm is implemented and a set of experiments is evaluated. The results are discussed.

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Šebek, Petr. "Heuristiky v optimalizačních úlohách třídy RCPSP." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234904.

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This thesis deals with the description of the state of resource-constrained project scheduling problem. It defines the formal problem and its complexity. It also describes variants of this problem. Algorithms for solving RCPSP are presented. Heuristic genetic algorithm GARTH is analyzed in depth. The implementation of prototypes solving RCPSP using GARTH is outlined. Several improvements to the original algorithm are designed and evaluated.

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Pospíchal, Petr. "Akcelerace genetického algoritmu s využitím GPU." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236783.

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This thesis represents master's thesis focused on acceleration of Genetic algorithms using GPU. First chapter deeply analyses Genetic algorithms and corresponding topics like population, chromosome, crossover, mutation and selection. Next part of the thesis shows GPU abilities for unified computing using both DirectX/OpenGL with Cg and specialized GPGPU libraries like CUDA. The fourth chapter focuses on design of GPU implementation using CUDA, coarse-grained and fine-grained GAs are discussed, and completed by sorting and random number generation task accelerated by GPU. Next chapter covers im

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Karásek, Štěpán. "Neuronové sítě a genetické algoritmy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255370.

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This thesis deals with evolutionary and genetic algorithms and the possible ways of combining them. The theoretical part of the thesis describes genetic algorithms and neural networks. In addition, the possible combinations and existing algorithms are presented. The practical part of this thesis describes the implementation of the algorithm NEAT and the experiments performed. A combination with differential evolution is proposed and tested. Lastly, NEAT is compared to the algorithms backpropagation (for feed-forward neural networks) and backpropagation through time (for recurrent neural networ

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Bentley, Peter John. "Generic evolutionary design of solid objects using a genetic algorithm." Thesis, University of Huddersfield, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338599.

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This thesis investigates the novel idea of using a computer to create and optimise conceptual designs of a range of differently-shaped three-dimensional solid objects from scratch. An extensive literature review evaluates all related areas of research and reveals that no such system exists. The development of a generic evolutionary design system, using a genetic algorithm (GA) as its core, is then presented. The thesis describes a number of significant advances necessitated by the development of this system. Firstly, a new low-parameter spatial-partitioning representation of solid objects is i

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Uherek, Jiří. "Algoritmické obchodování." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-192611.

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The diploma thesis is focused on algorithmic trading. In the first part the theoretical background is summarized. This part is particularly focused on definition of algorithmic trading, execution mechanisms, quantitative strategies, including problems regarding backtesting, and also on benefits and threats of algorithmic trading in market's point of view. The thesis also offers an introduction to genetic algorithms. In the practical part the strategy using genetic algorithm to find optimal combination of particular strategies is developed. The results showed that using genetic algorithms was b

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Komjáthy, Gergely. "Koevoluce obrazových filtrů a detektorů šumu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-412903.

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This thesis deals with image filter design using coevolutionary algorithms. It contains a description of evolutionary algorithms, focusing on genetic programming, cartesian genetic programming and coevolution, the reader can learn about image filters too. The next chapters contain the design of image filters and noise detectors using cooperative coevolution, and the implementation and testing of the proposed filter. In the last chapter the proposed filter is compared to other filters created using evolutionary algorithms but without coevolution.

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Bukáček, Jan. "Implementace evolučního expertního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218352.

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This thesis is focused on working up evolutionals and genetics algorithms issues Especially for multiobjective algorithms VEGA, SPEA and NSGA – II. Thereinafter one of FrameWork working with genetics algorithms namely WWW NIMBUS. From this mentioned algorithms was selected VEGA algorithm for implementation in JAVA to preselected problem. Thereby problem is choice thick columns of profile according to predetermined criteria. Selected algorithm works on division of population into several groups and each group evaluates the resulting fitness function. Here is a sample implementation of this algo

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Kovařík, Roman. "Evoluční návrh 3D struktur." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236549.

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This work deals with evolutionary design of 3D structures. The work brings the summary of the previous works in this area and brings autor's suggested solution of evolutionary design of 3D structures. This paper seeks to the ability of easy fitness function definition in the systems for evolutionary design of structures. The author tries to make one of the first steps to the future systems for evolution design of any universal structures in contrast with the evolution systems for design of a concrete type of structure. The result of this work is the basic system for evolutionary design of 3D s

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Barros, Regiane Silva de 1986. "Despacho de um arranjo hidro-eólico incluso em um sistema coordenado centralmente : modelo híbrido de otimização com meta-heurísticas." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265765.

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Orientadores: Paulo de Barros Correia, Ieda Geriberto Hidalgo<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecânica<br>Made available in DSpace on 2018-08-28T12:05:23Z (GMT). No. of bitstreams: 1 Barros_RegianeSilvade_D.pdf: 4190585 bytes, checksum: c320645bbd13fd28d572f5b9751d4ff7 (MD5) Previous issue date: 2015<br>Resumo: Este trabalho propõe um modelo de despacho ótimo no horizonte diário de operação, que permite coordenar a operação entre uma usina eólica e uma usina hidrelétrica. Nessa abordagem, a usina eólica é despachada em primeira instância. Para

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Stacha, Radek. "Optimalizace kogeneračního systému." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231502.

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Master thesis is focused on optimization of cogeneration system for purpose of rating optimization methods and evaluating properties of these methods. For each method there is description together with block schemes. First part of thesis is devoted to description of methods and their comparison. Second part consists of development of hybrid algorithm, which is used to optimize cogeneration systém model. Each algorithm compared is together with hybrid algorithms included in annexes.

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Francisco, Marcus Vinícius Cardador. "Desenvolvimento de algoritmo para controle de tráfego urbano usando redes neurais e algoritmos genéticos." Pontifícia Universidade Católica de São Paulo, 2009. https://tede2.pucsp.br/handle/handle/18252.

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Made available in DSpace on 2016-04-29T14:23:53Z (GMT). No. of bitstreams: 1 Marcus Vinicius Cardador Francisco.pdf: 1267870 bytes, checksum: 9cad63d4aeb66e7ee5b764e9855e2b06 (MD5) Previous issue date: 2009-12-15<br>This research has as goal to introduce an alternative solution for vehicles traffic flow control. Researches on similar subjects around the world were taken as a basement for this study which makes use of a hybrid architecture. This architecture is composed by a back-propagation algorithm, which is responsible for creating and training the networks that will take care of traffic

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Izquierdo, Rafael Crespo. "Projeto de formação de células de manufatura através da utilização de algoritmos genéticos." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/86412.

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Nos modernos sistemas produtivos exige-se crescente aumento na eficiência global, o que implica em otimização nas etapas de processo. Neste contexto, o arranjo de um layout industrial é um conceito fundamental para a eficácia de um sistema, que deve ser considerada na sua concepção. Em um ambiente industrial podem-se conceber diversos tipos de layout, de acordo com a diversidade de itens e do modo de produção adotado, da demanda de mercado. O presente trabalho aborda o projeto de layout do tipo celular, uma modalidade de arranjo utilizado na engenharia industrial que permite atender diversidad

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Švestka, Marek. "Prototypové ověření modifikace evolučního algoritmu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400938.

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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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Zapletal, Marek. "Implementace a testování vybraných optimalizačních metod pro úlohy odhadu parametrů simulačních modelů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-254426.

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This thesis deals with design of appropriate optimization algorithms for purposes of newly developed tool Mechlab’s parameter estimation, which serves for parameter estimation of simulation models in Matlab/Simulink. Levenberg-Marquardt algorithm had been chosen among other gradient methods. On the other hand, genetic algorithm and simulated annealing had been chosen from category of soft computing techniques to be implemented. Chosen algorithms were tested on artifical problem of mechanical oscilator and also on real datasets from electronic throttle. Proposed simulated annealing worked in bo

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Uzinski, Henrique [UNESP]. "Otimização de problemas multimodais usando meta-heurísticas evolutivas." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/115780.

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Made available in DSpace on 2015-03-03T11:52:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-10-24Bitstream added on 2015-03-03T12:06:30Z : No. of bitstreams: 1 000808114.pdf: 869921 bytes, checksum: d49e859927277a17ca43ba9e2d635677 (MD5)<br>Neste trabalho é proposta a resolução de problemas multimodais usando duas diferentes meta-heurísticas: Algoritmo Genético de Chu-Beasley modificado e o Algoritmo Genético de Chaves Aleatórias Viciadas (BRKGA), com foco principal nos resultados obtidos por esta última. É feita especificamente a implementação das meta-heurísticas e comparação do

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Uzinski, Henrique. "Otimização de problemas multimodais usando meta-heurísticas evolutivas /." Ilha Solteira, 2014. http://hdl.handle.net/11449/115780.

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Orientador: Rubén Augusto Romero Lázaro<br>Banca: Marina Lavorato de Oliveira<br>Banca: Marcelo Escobar de Oliveira<br>Resumo: Neste trabalho é proposta a resolução de problemas multimodais usando duas diferentes meta-heurísticas: Algoritmo Genético de Chu-Beasley modificado e o Algoritmo Genético de Chaves Aleatórias Viciadas (BRKGA), com foco principal nos resultados obtidos por esta última. É feita especificamente a implementação das meta-heurísticas e comparação dos resultados obtidos por estas diferentes técnicas. Uma característica muito importante do BRKGA é a estruturação que permite s

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Luciano, Edson José Rezende. "Um modelo de unit commitment hidrotérmico para o ambiente de mercados de energia /." Bauru : [s.n.], 2010. http://hdl.handle.net/11449/87200.

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Resumo: Este projeto tem como objetivo descrever, implementar e avaliar um modelo de Unit Commitment (UC) hidrotérmico para o ambiente de mercados de energia. O modelo deve considerar aspectos que têm sido negligenciados na abordagem atualmente vigente no Brasil, ou seja, o modelo deve apresentar as seguintes contribuições: i) a discretização do problema deve ser feita em base horária e não semanal, de modo a permitir o estabelecimento de um mercado de curtíssimo prazo efetivo; ii) o modelo deve levar em conta os custos de partida/parada de máquinas, comparando a solução do modelo proposta com

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Abu-Bakar, Nordin. "Adaptive genetic algorithms." Thesis, University of Essex, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.343268.

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Stults, Ian Collier. "A multi-fidelity analysis selection method using a constrained discrete optimization formulation." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31706.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Mavris, Dimitri; Committee Member: Beeson, Don; Committee Member: Duncan, Scott; Committee Member: German, Brian; Committee Member: Kumar, Viren. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Vin, Emmanuelle. "Genetic algorithm applied to generalized cell formation problems." Doctoral thesis, Universite Libre de Bruxelles, 2010. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210160.

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The objective of the cellular manufacturing is to simplify the management of the<p>manufacturing industries. In regrouping the production of different parts into clusters,<p>the management of the manufacturing is reduced to manage different small<p>entities. One of the most important problems in the cellular manufacturing is the<p>design of these entities called cells. These cells represent a cluster of machines that<p>can be dedicated to the production of one or several parts. The ideal design of a<p>cellular manufacturing is to make these cells totally independent from one another,<p>i.e. th

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Lang, Stanislav. "Optimalizace řídicího algoritmu pomocí evolučního algoritmu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-228998.

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My thesis deals with possibilities of using evolutionary computation in the field of automation. The theoretical part of the thesis describes the techniques used in the automation and optimization. The practical part of the thesis connects these two disciplines, the output of this work is a program for automatic design of parameters of regulator using a genetic algorithm.

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Liakhovitch, Evgueni. "Genetic algorithm using restricted sequence alignments." Ohio : Ohio University, 2000. http://www.ohiolink.edu/etd/view.cgi?ohiou1172598174.

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Kovács, Martin. "Techniky reprezentace pro evoluční návrh celulárních automatů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255340.

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The aim of this thesis is to experimentally evaluate the performance of several distinct representations of transition functions for cellular automata. Cellular automata have many potential applications for simulating various phenomena (e.g. natural processes, physical systems, etc.). Parallel computation of cellular automata is based on local cell interactions. Such computation, however, may prove difficult to program the CA, which is the reason for applying evolutionary techniques for the design of cellular automata in many cases. Evolutionary algorithms, based on Darwin's theory of evolutio

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