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Development of Operating System Based on Evolutionary and Genetic Algorithms
Skorkovský, Petr ; Moučka,, Jiří (referee) ; Kovár, Martin (referee) ; Chvalina, Jan (advisor)
The main goal of the work is to introduce new ideas how traditional approaches for designing an operation system and associated software can be improved to be a part of automatic software evolution. It is generally supposed that algorithms found by the genetic programming processes cannot be used for exact calculations but only for approximate solutions. Several examples of software evolution are introduced, to show that quite precise solutions can be achieved. To reach this goal, characteristics of tree-like structures with approaches based on cellular automata features are combined in a new promising technique of algorithm representation, joining benefits of both concepts. An application has been developed based on these new genetic programming concepts and it is supposed it can be a part of a future automatic software evolution process.
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Simulator of Fire Spreading Based on Cellular Automata
Daniš, Daniel ; Samek, Jan (referee) ; Žák, Jakub (advisor)
This bachelor's thesis deals with the design and implementation of forest fire simulator based on cellular automaton. Text of the thesis is divided into theoretical and practical part. In theoretical part the reader will be acknowledged with the domain of cellular automaton. Consequently, the model for the prediction of forest fire behavior will be described and the calculations for various parameters and particular coefficients of this model will be presented. Practical part of the thesis contains description of simulator architecture as well as key aspects of its implementation. Moreover, the emphasis is being placed on experiments with simulator and consecutive testing of its validity. The results of the thesis are: simulator, graphical application usable for the purposes of forest fire spreading prediction in different conditions.
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Development of Operating System Based on Evolutionary and Genetic Algorithms
Skorkovský, Petr ; Moučka,, Jiří (referee) ; Kovár, Martin (referee) ; Chvalina, Jan (advisor)
The main goal of the work is to introduce new ideas how traditional approaches for designing an operation system and associated software can be improved to be a part of automatic software evolution. It is generally supposed that algorithms found by the genetic programming processes cannot be used for exact calculations but only for approximate solutions. Several examples of software evolution are introduced, to show that quite precise solutions can be achieved. To reach this goal, characteristics of tree-like structures with approaches based on cellular automata features are combined in a new promising technique of algorithm representation, joining benefits of both concepts. An application has been developed based on these new genetic programming concepts and it is supposed it can be a part of a future automatic software evolution process.
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