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Quasi-parallel optimizing of simulated systems by means of genetic algorithms
Konopa, Michal ; Kindler, Evžen (advisor) ; Neruda, Roman (referee)
This work goals are SIMULA classes to model experts sessions so that each expert has his own start ideas the optimal system's parameters. All the experts are simulating the system (each expert with his own parameters), but during the simulation they are mutually exchanging information about behavior of theirs models and - in accordance with this information - they are learning, changing their own system parameters. The learning process is performed by means of genetic algorithms. The resulting optimizer is tested on concrete examples, both from the mathematical theory and real practice (e.g. optimizing of a given project). This work reassumes the dissertation of RNDR. Jiří Weinberger. CSc., who made similar type of optimizer in the 80es, when nothing concrete was known on genetic algorithms and so the experts learning scheme was modeled by techniques, which had great success in solution of real problems afterwards; but nowadays it is worth to replace them by genetic algorithms, or at least to compare both methods. Genetic algorithms are successfully used in systems optimization, where the model run is algorithmic-managed, but never in the way of directly changing the models during their running times. Parallel run of multiple simulating models on the computer equipped with only one processor requires...
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Reflective simulation of patients-in-bed movement
Gargulák, Jan ; Kindler, Evžen (advisor) ; Říha, Antonín (referee)
The work at first proposes ideas of the nested and external simulation. The external simulation works with the model M and the nested simulation work with the model N. The external simulation always calls nested simulation so that the nested model N is initialized according to the state of the external model M and then the nested experiment is performed. Its result can influence the state of the external model. The reflective simulation is a special case of the nested simulation when the external and the nested models are identical or almost identical. We describe how to implement reflective simulation in Simula language. Using this knowledge, we implement reflective simulation of patients-in-bed movement in Simula language. The resulting fully functional program clearly demonstrates properties of the reflective simulation.
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The music of the Armenian Hymnal: the Tntesean corpus
Utidjian, Haig ; Daněk, Petr (advisor) ; Kindler, Evžen (referee) ; Troelsgaard, Christian Viggo (referee)
Haig Utidjian - Abstract In this thesis we attempt to establish, in as concrete and tangible a manner as possible, the procedures used by Ełia Tntesean (1834-1881) in compiling and redacting his version of the melodies of the Armenian Hymnal, and to place his own endeavour in the context of other attempts to record the melodies of Armenian hymns using the Limōnčean system of musical notation in nineteenth-century Constantinople - at a time when the mediaeval neumatic notation had already become largely intractable. Our approach entails the juxtaposition of Tntesean's musicological articles and paedagogical publications with his transcriptions in Western notation and with his mature realisations of the hymnal melodies in the Limōnčean system, published posthumously in 1934 - treating these sources as a coherent corpus, of which the diverse components are allowed to shed light on each other. Comparison with other hymnals from the same period, the investigation of parallels with the neighbouring practice of Ottoman makams, fieldwork with surviving remnants of the oral tradition, and a critical examination of Tntesean's writings and transcriptions enable us to elucidate aspects of notation and performance practice, and to expose a subtle evolution in aesthetic. Furthermore, a detailed analysis of the Tntesean...
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Quasi-parallel optimizing of simulated systems by means of genetic algorithms
Konopa, Michal ; Neruda, Roman (referee) ; Kindler, Evžen (advisor)
This work goals are SIMULA classes to model experts sessions so that each expert has his own start ideas the optimal system's parameters. All the experts are simulating the system (each expert with his own parameters), but during the simulation they are mutually exchanging information about behavior of theirs models and - in accordance with this information - they are learning, changing their own system parameters. The learning process is performed by means of genetic algorithms. The resulting optimizer is tested on concrete examples, both from the mathematical theory and real practice (e.g. optimizing of a given project). This work reassumes the dissertation of RNDR. Jiří Weinberger. CSc., who made similar type of optimizer in the 80es, when nothing concrete was known on genetic algorithms and so the experts learning scheme was modeled by techniques, which had great success in solution of real problems afterwards; but nowadays it is worth to replace them by genetic algorithms, or at least to compare both methods. Genetic algorithms are successfully used in systems optimization, where the model run is algorithmic-managed, but never in the way of directly changing the models during their running times. Parallel run of multiple simulating models on the computer equipped with only one processor requires...
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Reflective simulation of patients-in-bed movement
Gargulák, Jan ; Říha, Antonín (referee) ; Kindler, Evžen (advisor)
The work at first proposes ideas of the nested and external simulation. The external simulation works with the model M and the nested simulation work with the model N. The external simulation always calls nested simulation so that the nested model N is initialized according to the state of the external model M and then the nested experiment is performed. Its result can influence the state of the external model. The reflective simulation is a special case of the nested simulation when the external and the nested models are identical or almost identical. We describe how to implement reflective simulation in Simula language. Using this knowledge, we implement reflective simulation of patients-in-bed movement in Simula language. The resulting fully functional program clearly demonstrates properties of the reflective simulation.
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