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Thermal model of vehicle cabin for HIL simulation
Chromiak, Michael ; Šolc, František (referee) ; Glos, Jan (advisor)
The air temperature inside the car's cab affects the driver as well as the entire crew. In particular, the driver of the car needs maximum thermal comfort, as it is one of the factors that can affect its attention. Before starting to solve this assignment, you will need to summarize the theoretical knowledge needed to properly solve the task. The main objective of this work will be the creation of a thermal model of a car cabin realized in the form of differential equations describing temperatures, which will be assembled in Simulink. The script in Matlab will be created to enter the individual car cabin parameters. From the perspective of the car crew, it is possible to use air conditioning or window openings to influence the air temperature while driving in the car. Therefore, the model enters the time flow of the air flow and temperature from the air conditioning as well as other parameters, including the outside temperature. From the entered parameters, the model then determines the temperature of the car cabin. The resulting model will need to be created so that it can be implemented into a microcontroller and prepare the necessary interface for HIL simulation.
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Solving mixed-integer linear programming problems in GAMS
Škoda, Štěpán ; Branda, Martin (advisor) ; Kopa, Miloš (referee)
In the present work we study the problems of integer linear optimi- zation, at first from the theoretical point of view (Part I) and subsequently on the basis of empirical data (Part II). First section explains with what this field deals with and where is applied. Other sections contain annotated mathematical formulation of problems, definitions and theorems needed to understand the general methods for solving integer linear programs. In the last section of Part I, we introduce the two best known groups of algorithms that are used by commercial software. The second part provides more details on an Internet library that contains some practical problems, that has been needed to be solved in the past. Furthermore, there are sections dealing with solvers and the advanced options of GAMS. The last section presents data obtained in the course of solving problems using several codes (solvers) of software. 1
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Thermal model of vehicle cabin for HIL simulation
Chromiak, Michael ; Šolc, František (referee) ; Glos, Jan (advisor)
The air temperature inside the car's cab affects the driver as well as the entire crew. In particular, the driver of the car needs maximum thermal comfort, as it is one of the factors that can affect its attention. Before starting to solve this assignment, you will need to summarize the theoretical knowledge needed to properly solve the task. The main objective of this work will be the creation of a thermal model of a car cabin realized in the form of differential equations describing temperatures, which will be assembled in Simulink. The script in Matlab will be created to enter the individual car cabin parameters. From the perspective of the car crew, it is possible to use air conditioning or window openings to influence the air temperature while driving in the car. Therefore, the model enters the time flow of the air flow and temperature from the air conditioning as well as other parameters, including the outside temperature. From the entered parameters, the model then determines the temperature of the car cabin. The resulting model will need to be created so that it can be implemented into a microcontroller and prepare the necessary interface for HIL simulation.
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Solving mixed-integer linear programming problems in GAMS
Škoda, Štěpán ; Branda, Martin (advisor) ; Kopa, Miloš (referee)
In the present work we study the problems of integer linear optimi- zation, at first from the theoretical point of view (Part I) and subsequently on the basis of empirical data (Part II). First section explains with what this field deals with and where is applied. Other sections contain annotated mathematical formulation of problems, definitions and theorems needed to understand the general methods for solving integer linear programs. In the last section of Part I, we introduce the two best known groups of algorithms that are used by commercial software. The second part provides more details on an Internet library that contains some practical problems, that has been needed to be solved in the past. Furthermore, there are sections dealing with solvers and the advanced options of GAMS. The last section presents data obtained in the course of solving problems using several codes (solvers) of software. 1
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Kakuro Puzzle
Hodáň, Ján ; Šuška, Boris (referee) ; Zámečníková, Eva (advisor)
This thesis deals with history of logic and logic games. In details deals with rules and options of solving logic game Kakuro. It analyze the problem of implementation of this game to the computer algorithm. In the last chapter is explained how is logic game implemented and tested.
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System for solving distribution problems of LP – LINGO/Excel interface
Krčál, Adam ; Jablonský, Josef (advisor) ; Zouharová, Martina (referee)
Discrete problems of linear programming, i. e. problems with integer or binary variables, have a great amount of real-life applications. Among distribution problems, belong many different kinds of problems with discrete character -- transportation problem, container transportation problem, allocation problem, assignment problem, plant location problem, traveling salesman problem etc. In this work the theoretical aspects of chosen types of problems are explained and then an application in Microsoft Excel 2010 environment is created. For that purpose programming language VBA is the key instrument. The application cooperates with two different optimization systems -- the Solver add-in in Excel and professional optimization system Lingo. Functionality of the application is thereafter tested on some examples.
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Optimization over the internet
Šálek, Pavel ; Jablonský, Josef (advisor) ; Rada, Miroslav (referee)
The goal of this thesis is to analyse and evaluate the efficiency of systems used for solving problems of mathematical programming, which are available within the frame of project NEOS (Network Enabled Optimization Server). The most frequent algorithms for solving linear programming and mixed integer programming are described in the beginning of the work -- simplex algorithms, the interior point method, cutting plane method and branch and bound method. These algorithms are used in solvers, which are supported by NEOS server. The efficiency of the algorithms and solvers are tested on collection of chosen problems contained in libraries of NETLIB and MIPLIB.
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