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Optimization of concrete structures using stochastic optimization methods
Slowik, Ondřej ; Pukl,, Radomír (referee) ; Novák, Drahomír (advisor)
The thesis focuses the reader on the sense of optimization and its importance for civil engineering. It outlines the principles used by some optimization methods and discusses the possibility of combination of any type of methods LHS with other optimization method. The result is a new type of optimization method named Nested LHS described in the text of the third chapter. The fifth chapter applies some of the lessons learned to solve practical optimization problem - reinforced concrete bridge solved by nonlinear finite element analysis using pseudostochastic optimization method LHS mean.
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Optimization of a small induction machine’s slots
Šišák, David ; Janda, Marcel (referee) ; Mach, Martin (advisor)
This master thesis deals with optimization of the shape of the stator and rotor slots of induction motor with focusing on increasing efficiency. The theoretical part introduces the principles of optimization algorithms. Another part is devoted to design the shape of slots and its influence on the shape of slots on machine. On the models of motor was conducted the optimized shape of slots by using a genetic algorithm. Firstly, it was performed by using the analytical calculation in the RMxprt program, then by using the finite element method on two different models, whose difference simulates the influence of the production technology on the efficiency of the motor. Laboratory measurement was made on a real machine as well. The results of the measurement, calculations and optimizations are compared in the work.
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Design Optimization of Contact Force Vector Sensor
Vála, Pavel ; Vlach, Radek (referee) ; Krejčí, Petr (advisor)
The aim of this work is an optimalization of vector contact force sensor properties which prototype is at the moment designed. The principle of sensor is based on transformation active part of sensor using three tensiometers and following value indentification of loading force vector using neuron network. Sensor has a bad sensitivity when axis force load or near to axis of sensor. To solve this problem ''MKP'' model of sensor was used on which suitable optimalization method was applicated. From the result of optimalization modificated sensor will be proposed and will be made a utility verification using neuron network.
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Reliability-based structural optimization
Slowik, Ondřej ; Pukl, Radomír (referee) ; Novák, Drahomír (advisor)
This thesis presents the reader the importance of optimization and probabilistic assessment of structures for civil engineering problems. Chapter 2 further investigates the combination between previously proposed optimization techniques and probabilistic assessment in the form of optimization constraints. Academic software has been developed for the purposes of demonstrating the effectiveness of the suggested methods and their statistical testing. 3th chapter summarizes the results of testing previously described optimization method (called Aimed Multilevel Sampling), including a comparison with other optimization techniques. In the final part of the thesis, described procedures have been demonstrated on the selected optimization and reliability problems. The methods described in text represents engineering approach to optimization problems and aims to introduce a simple and transparent optimization algorithm, which could serve to the practical engineering purposes.
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Optimization of EMI filter Circuitry
Surovec, Vojtěch ; Soldán, Josef (referee) ; Dřínovský, Jiří (advisor)
In introduction of work, I presented the state of the art of measuring insertion loss of the EMI filter and the description of individual methods of measuring is also included. After that I dealt with global optimization methods and some of them I theoretically described. Mainly PSO method was studied carefully, and the principle of optimization in details are presented in the thesis, because this method was used for optimization of the filters parameters in the thesis. Next part of work deals with theoretical and mathematical expression of insertion loss of the EMI filters. Due to the mathematical expression of the insertion loss, the values of parasitic elements of given filter have been optimized in different measuring systems. This optimization was applied on synthetic data. By this step the functionality of optimization was proved and also the fitness function has been tuned and optimised. The last part of thesis works with optimization on measured data of given filters. I found out inaccuracy in mathematical expression of given model of EMI filter, therefore it was necessary to come up with the new filter model. The accuracy increases by using the new filter model. In next step the new model was enlarged by new spurious components.
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GENERATIVE FURNITURE
Picek, Matěj ; Krejčí, Daniel (referee) ; Tobola, Ondřej (advisor)
This thesis deals with the basic principles of the functioning of the technology of generative design, using the method of topology optimization and finding their potential with the capabilities of the application in the field of furniture design. The main outcome is a functional prototype of a low relaxing chair, which specific construction is designed using the method of topology optimization.
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Molecular Signature as Optima of Multi-Objective Function with Applications to Prediction in Oncogenomics
Aligerová, Zuzana ; Maděránková, Denisa (referee) ; Provazník, Ivo (advisor)
Náplní této práce je teoretický úvod a následné praktické zpracování tématu Molekulární signatura jako optimální multi-objektivní funkce s aplikací v predikci v onkogenomice. Úvodní kapitoly jsou zaměřeny na téma rakovina, zejména pak rakovina prsu a její podtyp triple negativní rakovinu prsu. Následuje literární přehled z oblasti optimalizačních metod, zejména se zaměřením na metaheuristické metody a problematiku strojového učení. Část se odkazuje na onkogenomiku a principy microarray a také na statistiku a s důrazem na výpočet p-hodnoty a bimodálního indexu. Praktická část je pak zaměřena na konkrétní průběh výzkumu a nalezené závěry, vedoucí k dalším krokům výzkumu. Implementace vybraných metod byla provedena v programech Matlab a R, s využitím dalších programovacích jazyků a to konkrétně programů Java a Python.
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Research of Methods for Significant Accereation of Parameter Estimation of Simulation Models
Appel, Martin ; Opluštil, Vladimír (referee) ; Křivánek, Václav (referee) ; Grepl, Robert (advisor)
The thesis focuses on achieving a significant speed-up in the estimation of simulation model parameter values. This is achieved through the appropriate choice of a solver that is computationally less demanding, but at the same time has an acceptable error in the range of parameter values, through the use of distribution of computations on parallel threads, heuristic methods for reducing the space of parameter values, and modification of optimization methods. In this thesis, the research related to the objectives of the thesis is first discussed, then the exact objectives of this thesis are stated and the implementation of each objective is described in separate chapters. The results of this thesis include a tool used to analyze solver choice, an analysis of parallel thread efficiency, a parallel simulation distribution tool, nine modified optimization methods, and a new tool for estimating parameter values. Finally, the results obtained are evaluated.
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Optimization of Supply
PAVLÁSKOVÁ, Terezie
The diploma thesis deals with the optimization of inventory management with the help of operational research methods. The aim is to appropriately select and apply the inventory management method in a real company. To provide a broader view of this issue, the work begins with a brief presentation of logistics. In addition, stocks are described and classified together with the costs associated with them. Then the possibilities of inventory management in the company are presented. A brief description of the mathematical modeling is later followed by the selected inventory management methods, which are specified in more detail. In the second half of the thesis, a construction company is introduced. In the company, the ABC analysis of stocks was carried out, taking into account turnover values. Stocks were selected for optimization based on the results. Their recorded historical consumption was analyzed and, if necessary, adjusted to enable application of inventory management methods. The P-system of inventory management was applied to the selected stocks. The proposed supply solution was compared with the currently implemented system based on the resulting costs. The conclusion of the thesis contains an evaluation of the proposed optimization and other recommendations that the company should apply.
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Reliability-based structural optimization
Slowik, Ondřej ; Červenka,, Jan (referee) ; Lepš, Matěj (referee) ; Novák, Drahomír (advisor)
Presented PhD thesis deals with reliability-based optimization of structures and problems related to automatization of various algorithms of solution for various reliability-based optimization task definitions. The text presents a general definition of the reliability-based optimization problem, followed by a description of state of the art within the broad field of reliability-based optimization as well as the current state of the art of selected methodology utilized or developed by the author during his work in order to meet objectives of his dissertation. The theoretical part of the thesis is supplemented by a description of developed software tools and by examples of described methodology applications during a solution of practical problems of nonlinear numerical models reliability-based optimization and problems of inverse analysis.
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