National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Cellular Automaton in Evolutionary Process
Hejč, Michal ; Herrman, Tomáš (referee) ; Bidlo, Michal (advisor)
The aim of this master's theses it to focuse on the usage of genetic algorithms in combination with a technique of biologically inspired development in cellular automata. The principles of the proposed method is described. The main part of this work deals with the design of combinational logic circuits. The genetic algorithm is utilized to design a nonuniform one-dimensional cellular automaton (in particular, the local transition functions) which serves as a circuit generator. Experiments have been conducted to design of basic types of combinational circuits and polymorphic circuits. Finally, the results are presented and compared with the results obtained in the previous work in which a uniform cellular automaton was applied.
Vývojové tendence ve spotřebě potravin v ČR - vybrané aspekty
Hejč, Michal
This diploma thesis deals with evaluation of level and evolution of food consumption in Czech Republic in last twenty five years. It characterizes fundamental evolution trends in food consumption in wider socioeconomic context. It analyzes development of food consumption in terms of price-consumption interaction and also in terms of income-consumption interaction. It describes changes of business environment with emphasis on final stages of vertical food chains. It also describes structural changes in retail network and growth of market power of multinational retail chain on Czech market. This paper also determines factors, that influences consumer behavior while buying food products and describes new trends of food consumption.
Cellular Automaton in Evolutionary Process
Hejč, Michal ; Herrman, Tomáš (referee) ; Bidlo, Michal (advisor)
The aim of this master's theses it to focuse on the usage of genetic algorithms in combination with a technique of biologically inspired development in cellular automata. The principles of the proposed method is described. The main part of this work deals with the design of combinational logic circuits. The genetic algorithm is utilized to design a nonuniform one-dimensional cellular automaton (in particular, the local transition functions) which serves as a circuit generator. Experiments have been conducted to design of basic types of combinational circuits and polymorphic circuits. Finally, the results are presented and compared with the results obtained in the previous work in which a uniform cellular automaton was applied.

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2 Hejč, Martin
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