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Cellular automata and rules defined using genetic algorithm
Goliáš, Darek ; Lang, Stanislav (referee) ; Matoušek, Radomil (advisor)
This bachelor's thesis explores the integration of cellular automata (CA) and genetic algorithms (GA). It briefly outlines the history and principles of CA and GA, including their key components. The theoretical part covers various types of CA, their classification, boundary conditions, and examples of applications. Additionally, it describes genetic algorithms, their representation of population, selection, crossover, and mutation. The practical part involves the design and implementation of a two-dimensional CA with a rule generation system using GA.
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