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Genetické programování a jeho praktické využití
DIBITANZL, Jaroslav
This bachelor's thesis deals with symbolic regression and its solution using genetic programming. The thesis consists of theoretical a practical part. Theoretical part focuses on principle of genetic programming, practical part contains example solution of symbolic regression using libraries Clojush, EllenGP, DEAP, FlexGP, KarooGP and describes own solution. Goal of this thesis is to display possibilities of genetic programming and how it can be used for solving symbolic regression. Outcomes of thesis are examples of individual above-mentioned libraries and analyse own solution of symbolic regression.

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