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Heuristic Algorithms in Optimization
Komínek, Jan ; Šeda, Miloš (referee) ; Roupec, Jan (advisor)
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 general optimization problems in C ++ was created and is described in the last chapter.
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Stochastic Programming for Engineering Design
Hrabec, Dušan ; Roupec, Jan (referee) ; Popela, Pavel (advisor)
Stochastické programování a optimalizace jsou velmi užitečné nástroje pro řešení široké škály inženýrských úloh zahrnujících neurčitost. Diplomová práce se zabývá stochastickým programováním a jeho aplikací při řešení logistických úloh. Teoretická část práce je věnována jak základním pojmům z teorie grafů, tak pojmům souvisejících s matematickým, lineárním, celočíselným a stochastickým programováním. Pozornost je věnována také návaznosti zmíněných pojmů na logistiku. Druhá část se zabývá tvorbou vlastních úloh prezentujících stochastické logistické modely, jejich implementací a výsledky.
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Genetic Algorithms and Scheduling
Škrabal, Ondřej ; Popela, Pavel (referee) ; Roupec, Jan (advisor)
This work deals with scheduling problem in particular plastic production service. The solution is based on heuristic algorithms, programming languages C + +, C # and is built on the .NET framework and LINQ to XML. It provides the users with comparisons of the heuristic approach with genetic algorithms applied to production problem. All methods results are compared in relation to hand-arranged plans.
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Design and implementation of a call back system utilizing JBoss and unix clustering
Vakula, Juraj ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
The thesis is focused on use and implement High Availability cluster in the productive environment, where is needed to concentrate on business critical application. The main aim of this thesis is to create the environment for callback system, which consist from many software products, for example database, web, java and etc. A company has to consolidate every application in an flexible environment resistent to hardware failure, human error in order to be running 24/7.
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Software for the small delivery company
Jaderný, Petr ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
This thesis describes the program solution of work with information for a small spedition company. It means the common registration of documents, contacts and other information about companies with which do the spedition company business. Further forms and information generating, which are needed for common accounting operations. Finally making of the back-up files.
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Development of Internet Application Using Rich Internet Application Adobe AIR
Šimík, Adam ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
This thesis explores the development of desktop applications using Adobe AIR (Adobe Itegrated Runtime) technology. Applications like these are based on web technologies but they do not have such restricted access to resources of operating system as web applications. Moreover, it is possible to install these applications on various operating systems without the need of their previous compilation for a specific operating platform. Apart from describing technologies used for developing AIR applications, this thesis also presents an application which is used for testing the possibilities and features that AIR technology offers.
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Unstructured Mesh Generation
Rozehnalová, Petra ; Roupec, Jan (referee) ; Hlavička, Rudolf (advisor)
Meshes based on triangulation (2D) or tetrahedralization (3D) are widely used in applications such as computer graphics, interpolation, surveying, and terrain modelling. Although the most important use is in numerical methods for the solution of partial differential equations. This solution is use for simulation of complex physical processes, which are described by this equations. The main topic of this thesis is mash generation.
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Heuristic algorithms in optimization
Šandera, Čeněk ; Popela, Pavel (referee) ; Roupec, Jan (advisor)
Práce se zabývá určením pravděpodobnostních rozdělení pro stochastické programování, při kterém jsou optimální hodnoty účelové funkce extrémní (minimální nebo maximální). Rozdělení se určuje pomocí heuristických metod, konkrétně pomocí genetických algoritmů, kde celá populace aproximuje hledané rozdělení. První kapitoly popisují obecně matematické a stochastické programování a dále jsou popsány různé heuristické metody a s důrazem na genetické algoritmy. Těžiště práce je v naprogramování daného algoritmu a otestování na úlohách lineárních a kvadratických stochastických modelů.
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Mathematical Model for Faculty Budget
Holá, Lucie ; Roupec, Jan (referee) ; Popela, Pavel (advisor)
The idea of this diploma thesis is an origin application of optimization models to solve a wage funds allocation problem on various institutes of each faculty. This diploma thesis includes an outline of linear programming models, nonlinear programming models, multiply programming models and parametric programming models. Studied questions are debating in wider context of distributing financial resources from the Budget of the Czech republic, through Ministry of education, youth and sports, universities, faculties after as much as various institutes. The accent is given on question of definition assessment scales of achievement criteria with general-purpose kvantification.
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