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Optimalization of Constructional Teams Creation by Genetic Algorithms
Špaček, Jiří ; Zelinka, Ivan (referee) ; Šeda, Miloš (referee) ; Ošmera, Pavel (advisor)
The thesis pertains to optimisation of workgroups in companies. It is based on the work of Dr. Meredith Belbin from the Henley Management College, who is the author of the so-called Belbin’s team role theory. The theory defines fundamental roles within a team including specifications of the behavioural patterns while stipulating that in order to ensure proper functionality of a team, it is essential for all the roles to be represented in it. However, in practice it is necessary for specific people to comply not only with certain personal and psychological requirements but also professional expertise and other requirements. Nevertheless, by the means of adding these parameters to specific people, an enormous number of possible alternatives of the resulting team, which may not be evaluated (easily and in the real time) using traditional methods, proves to come to existence. Therefore, the so-called genetic algorithms inspired by natural development processes originally described by J. G. Mendel and Ch. Darwin were selected for evaluation purposes. The genetic algorithms feature good solutions to the task to be resolved in a very short time while the task does not have to be based on exact specifications and therefore several solutions might exist. A Java application was created within the scope of the thesis; its core comprises a genetic algorithm and it was used for the purpose of modelling of specific teams. The results provided by the application were subsequently verified by the means of creation of teams used for completion of new tasks and monitoring their activities in practice. Furthermore, the model verification of teams previously created solely on the basis of experience of executives was performed and the respective results were compared.
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Optimalization of Constructional Teams Creation by Genetic Algorithms
Špaček, Jiří ; Zelinka, Ivan (referee) ; Šeda, Miloš (referee) ; Ošmera, Pavel (advisor)
The thesis pertains to optimisation of workgroups in companies. It is based on the work of Dr. Meredith Belbin from the Henley Management College, who is the author of the so-called Belbin’s team role theory. The theory defines fundamental roles within a team including specifications of the behavioural patterns while stipulating that in order to ensure proper functionality of a team, it is essential for all the roles to be represented in it. However, in practice it is necessary for specific people to comply not only with certain personal and psychological requirements but also professional expertise and other requirements. Nevertheless, by the means of adding these parameters to specific people, an enormous number of possible alternatives of the resulting team, which may not be evaluated (easily and in the real time) using traditional methods, proves to come to existence. Therefore, the so-called genetic algorithms inspired by natural development processes originally described by J. G. Mendel and Ch. Darwin were selected for evaluation purposes. The genetic algorithms feature good solutions to the task to be resolved in a very short time while the task does not have to be based on exact specifications and therefore several solutions might exist. A Java application was created within the scope of the thesis; its core comprises a genetic algorithm and it was used for the purpose of modelling of specific teams. The results provided by the application were subsequently verified by the means of creation of teams used for completion of new tasks and monitoring their activities in practice. Furthermore, the model verification of teams previously created solely on the basis of experience of executives was performed and the respective results were compared.
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