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Structural Design Using Cellular Automata
Bezák, Jakub ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
The aim of this paper is to introduce the readers to the field of cellular automata, their design and their usage for structural design. Genetic algorithms are usually involved in designing complicated cellular automata, and because of that they are also briefly described here. For the purposes of this work sorting networks are considered as suitable structures to be designed using cellular automata, however, they are not a part of the automata but they are generated separately by modified rules of a local transition function.
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Evolutionary Design Using Random Boolean Networks
Mrnuštík, Michal ; Žaloudek, Luděk (referee) ; Bidlo, Michal (advisor)
This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described. This representation is combined with an evolutionary algorithm. The genetic operators are described too. The Random Boolean Networks are used as the developmental model for the evolutionary design of the combinational circuits and the sorting networks. Moreover a representation of the Random Boolean Networks for the design of image filters is introduced. The proposed methods are evaluated in different case-studies. The results of the experiments are discussed together with the potential improvements and topics of the next research.
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Evolutionary Design of Structures Using Rewriting Systems
Dobeš, Michal ; Zachariášová, Marcela (referee) ; Bidlo, Michal (advisor)
This work focuses on application of rewriting systems in the context of biology-inspired development of structures in evolutionary algorithms. As a part of this work, a method has been proposed for design of general structures that uses the aforementioned principle. This document includes an introduction into the theory of sorting networks and their design, the problem of which is later shown to be solvable using the proposed method. In addition, the theoretical background of evolutionary algorithms and rewriting systems is discussed. In the field of rewriting systems, an extension to the class of IL-systems has been created for use in the proposed method. The proposed method has been successfuly applied in the design of growing sorting networks. The results produced by the proposed method significantly outperform the results of the currently best-known comparable method.
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Evolutionary Design of Structures Using Rewriting Systems
Dobeš, Michal ; Zachariášová, Marcela (referee) ; Bidlo, Michal (advisor)
This work focuses on application of rewriting systems in the context of biology-inspired development of structures in evolutionary algorithms. As a part of this work, a method has been proposed for design of general structures that uses the aforementioned principle. This document includes an introduction into the theory of sorting networks and their design, the problem of which is later shown to be solvable using the proposed method. In addition, the theoretical background of evolutionary algorithms and rewriting systems is discussed. In the field of rewriting systems, an extension to the class of IL-systems has been created for use in the proposed method. The proposed method has been successfuly applied in the design of growing sorting networks. The results produced by the proposed method significantly outperform the results of the currently best-known comparable method.
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Evolutionary Design Using Random Boolean Networks
Mrnuštík, Michal ; Žaloudek, Luděk (referee) ; Bidlo, Michal (advisor)
This master's thesis introduces the Random Boolean Networks as a developmental model in the evolutionary design. The representation of the Random Boolean Networks is described. This representation is combined with an evolutionary algorithm. The genetic operators are described too. The Random Boolean Networks are used as the developmental model for the evolutionary design of the combinational circuits and the sorting networks. Moreover a representation of the Random Boolean Networks for the design of image filters is introduced. The proposed methods are evaluated in different case-studies. The results of the experiments are discussed together with the potential improvements and topics of the next research.
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|
|
Structural Design Using Cellular Automata
Bezák, Jakub ; Vašíček, Zdeněk (referee) ; Bidlo, Michal (advisor)
The aim of this paper is to introduce the readers to the field of cellular automata, their design and their usage for structural design. Genetic algorithms are usually involved in designing complicated cellular automata, and because of that they are also briefly described here. For the purposes of this work sorting networks are considered as suitable structures to be designed using cellular automata, however, they are not a part of the automata but they are generated separately by modified rules of a local transition function.
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