Particle Swarm Optimization: Implementace a testování biologicky inspirované optimalizační metody – Bc. Tomáš Przybek
Bc. Tomáš Przybek
Master's thesis
Particle Swarm Optimization: Implementace a testování biologicky inspirované optimalizační metody
Particle Swarm Optimization: Implementation and testing of bioinspired optimization method
Abstract:
Tato diplomová práce rozebírá problematiku implementace a testování algoritmu Particle Swarm Optimization, biologicky inspirovanou optimalizační metodu. Stručně nás seznámí s evolučními algoritmy, podrobně rozebírá PSO algoritmus a jeho parametrizaci. Testování probíhá na numerických, nominálních a binárních datech. Aplikace obsahuje přehledné grafické uživatelské rozhraní. Algoritmus je na konci porovnán …moreAbstract:
This thesis analyzes the implementation of a testing algorithm, Particle Swarm Optimization, biologically inspired optimization method. Introduce us briefly with evolutionary algorithms, analyzes in detail the PSO algorithm and its parameters. Testing is performed on numerical, nominal, and binary data. The application contains graphical user interface. The algorithm is compared with genetic algorithm …more
Language used: Czech
Date on which the thesis was submitted / produced: 30. 12. 2015
Thesis defence
- Supervisor: doc. Ing. Jan Žižka, CSc.
Citation record
ISO 690-compliant citation record:
PRZYBEK, Tomáš. \textit{Particle Swarm Optimization: Implementace a~testování biologicky inspirované optimalizační metody}. Online. Master's thesis. Brno: Mendelova univerzita v Brně, Faculty of Business and Economics. 2015. Available from: https://theses.cz/id/h6e62m/.
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Institution archiving the thesis and making it accessible: Mendelova univerzita v Brně, Provozně ekonomická fakultaMendel University in Brno
Faculty of Business and EconomicsMaster programme / field:
System engineering and informatics / Economic informatics
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