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Benchmarking of swarm optimization algorithms
Mittaš, Eduard ; Dosoudilová, Monika (referee) ; Kůdela, Jakub (advisor)
This thesis deals with benchmarking of swarm optimization algorithms. First part handles optimization problem and it’s meaning in testing of algorithm’s performances. Next chapter describes the very benchmarking itself, it’s tools and software platforms. Afterwards individual algorithms, which were selected for implementation are described. Following this part is a program realization of solution, selected algorithms, selected testing functions and the data, which is exported by the program. The last chapter deals with results of respective performance tests, in which algorithms solved given testing problems. Eventually these results are evaluated and from them an outcome of efficiency and performance of algorithms is formed.
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Aerofoil Aerodynamic Features Optimization
Müller, Jan ; Rozehnal,, Dalibor (referee) ; Popela, Robert (referee) ; Zelinka, Ivan (referee) ; Ošmera, Pavel (advisor)
The content of the presented thesis is advanced optimization of the aerofoil wing of a general aircraft. Advanced metaheuristic optimization techniques based on evolutionary calculations and swarm algorithms are used for optimization. These algorithms are characterized by robustness of optimization and engineered degree of convergence and optimality of the solution. Within the solution, fundamental modifications of the original aerofoil optimizations were designed and implemented. A new variant of aerofoil evolutionary algorithms (aEA) was created from the original evolutionary algorithm (EA), followed by a new variant of aerofoil particle swarm optimization (aPSO) developed from the original particle swarm optimization (PSO). Then the hybridization of the mentioned methods was created in a parallel variant. The Bezier-PARSEC 3434 parameterization model that generates the aerofoil shape was used for the optimization process. A parametric model based on B-Spline was used to optimize the original aerofoil. Fluid dynamics simulation for the calculation of basic aerodynamic features (lift, drag, moment) was realized by Xfoil software. The results are then verified using fluid dynamics simulation (CFD ANSYS Fluent). From the point of view of optimization tasks developed by optimization and implementation, it is clear that this is a complex interdisciplinary task, the results of which are presented in this thesis.
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Aerofoil Aerodynamic Features Optimization
Müller, Jan ; Popela, Robert (referee) ; Zelinka, Ivan (referee) ; Rozehnal,, Dalibor (referee) ; Ošmera, Pavel (advisor)
The content of the presented thesis is advanced optimization of the aerofoil wing of a general aircraft. Advanced metaheuristic optimization techniques based on evolutionary calculations and swarm algorithms are used for optimization. These algorithms are characterized by robustness of optimization and engineered degree of convergence and optimality of the solution. Within the solution, fundamental modifications of the original aerofoil optimizations were designed and implemented. A new variant of aerofoil evolutionary algorithms (aEA) was created from the original evolutionary algorithm (EA), followed by a new variant of aerofoil particle swarm optimization (aPSO) developed from the original particle swarm optimization (PSO). Then the hybridization of the mentioned methods was created in a parallel variant. The Bezier-PARSEC 3434 parameterization model that generates the aerofoil shape was used for the optimization process. A parametric model based on B-Spline was used to optimize the original aerofoil. Fluid dynamics simulation for the calculation of basic aerodynamic features (lift, drag, moment) was realized by Xfoil software. The results are then verified using fluid dynamics simulation (CFD ANSYS Fluent). From the point of view of optimization tasks developed by optimization and implementation, it is clear that this is a complex interdisciplinary task, the results of which are presented in this thesis.
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Benchmarking of swarm optimization algorithms
Mittaš, Eduard ; Dosoudilová, Monika (referee) ; Kůdela, Jakub (advisor)
This thesis deals with benchmarking of swarm optimization algorithms. First part handles optimization problem and it’s meaning in testing of algorithm’s performances. Next chapter describes the very benchmarking itself, it’s tools and software platforms. Afterwards individual algorithms, which were selected for implementation are described. Following this part is a program realization of solution, selected algorithms, selected testing functions and the data, which is exported by the program. The last chapter deals with results of respective performance tests, in which algorithms solved given testing problems. Eventually these results are evaluated and from them an outcome of efficiency and performance of algorithms is formed.
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