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PSO-Particle Swarm Optimization
Němeček, Patrik ; Jaroš, Jiří (referee) ; Schwarz, Josef (advisor)
This work deals with particle swarm optimization. The theoretic part briefly describes the problem of optimization. The considerable part focuses on the overall description of particle swarm optimization (PSO). The principle, behavior, parameters, structure and modifications of PSO are described. The next part of the work is a recherché of variants of PSO, including hybridizations of PSO. In practical part the dynamic problems are analyzed and new designed algorithm for dynamic problems AHPSO is described (what it is based on, what was inspired, what elements are used and why). Algorithm is executed on the set of tasks (Moving peaks benchmark) and compared with the best publicly available variants of algorithm PSO on dynamic problems so far.
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Network Application of the Game Canasta
Němeček, Patrik ; Kněžík, Jan (referee) ; Stružka, Jaroslav (advisor)
This bachelor thesis focuses on the analysis, the design, the implementation and the testing of the network application of the game Canasta. It is a card game for 2 to 4 players playing over the network. In this Bachelor thesis you can find the description and the use of the model client/server, the network protocols TCP/IP and the self-proposed communication protocol for the sending of messages between client and server parts. The application is implemented in the programming language C++ with the use of Qt framework. The final application is multiplatform.
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Network Application of the Game Canasta
Němeček, Patrik ; Kněžík, Jan (referee) ; Stružka, Jaroslav (advisor)
This bachelor thesis focuses on the analysis, the design, the implementation and the testing of the network application of the game Canasta. It is a card game for 2 to 4 players playing over the network. In this Bachelor thesis you can find the description and the use of the model client/server, the network protocols TCP/IP and the self-proposed communication protocol for the sending of messages between client and server parts. The application is implemented in the programming language C++ with the use of Qt framework. The final application is multiplatform.
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PSO-Particle Swarm Optimization
Němeček, Patrik ; Jaroš, Jiří (referee) ; Schwarz, Josef (advisor)
This work deals with particle swarm optimization. The theoretic part briefly describes the problem of optimization. The considerable part focuses on the overall description of particle swarm optimization (PSO). The principle, behavior, parameters, structure and modifications of PSO are described. The next part of the work is a recherché of variants of PSO, including hybridizations of PSO. In practical part the dynamic problems are analyzed and new designed algorithm for dynamic problems AHPSO is described (what it is based on, what was inspired, what elements are used and why). Algorithm is executed on the set of tasks (Moving peaks benchmark) and compared with the best publicly available variants of algorithm PSO on dynamic problems so far.
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