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Interactive 3D Terrain Editor
Hulva, Jiří ; Vanek, Juraj (referee) ; Přibyl, Jaroslav (advisor)
The purpose of this work is to design and implement an interactive 3D terrain editor. The application should be able to create three-dimensional model of a terrain from input data, display it and allow free movement in displayed scene. Users should be provided with tools for editing heightmaps and surface textures. There should be option to load models of objects, like buildings or vegetation and place them on chosen locations.
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Coevolutionary Algorithm for Test-Based Problems
Hulva, Jiří ; Sekanina, Lukáš (referee) ; Drahošová, Michaela (advisor)
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 test set was generated by a new method, which allows to adjust its size dynamically. Functionality of the application was verified on a set of five test tasks. The results were compared with a coevolution algorithm with a fixed-sized test set. In three cases the new method needed lesser number of generations to find a solution of a desired quality, however, in most cases more data-point evaluations were required.
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Interactive 3D Terrain Editor
Hulva, Jiří ; Vanek, Juraj (referee) ; Přibyl, Jaroslav (advisor)
The purpose of this work is to design and implement an interactive 3D terrain editor. The application should be able to create three-dimensional model of a terrain from input data, display it and allow free movement in displayed scene. Users should be provided with tools for editing heightmaps and surface textures. There should be option to load models of objects, like buildings or vegetation and place them on chosen locations.
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|
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Coevolutionary Algorithm for Test-Based Problems
Hulva, Jiří ; Sekanina, Lukáš (referee) ; Drahošová, Michaela (advisor)
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 test set was generated by a new method, which allows to adjust its size dynamically. Functionality of the application was verified on a set of five test tasks. The results were compared with a coevolution algorithm with a fixed-sized test set. In three cases the new method needed lesser number of generations to find a solution of a desired quality, however, in most cases more data-point evaluations were required.
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