National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Intelligent Web Work Planner
Kmeť, Miroslav ; Vrábel, Lukáš (referee) ; Čermák, Martin (advisor)
This thesis describes basic principles governing the use of evolutionary algorithms. Thesis deals with the usage of the evolutionary algorithms for scheduling the work between group of employees. Genetic algorithms, which represents intelligent stochastic optimization techniques based on the mechanism of natural selection and genetics are mainly used to solve this problem. Each solution is represented as an individual in population and only the most adapted ones are selected for the process of reproduction.
Intelligent Web Work Planner
Kmeť, Miroslav ; Vrábel, Lukáš (referee) ; Čermák, Martin (advisor)
This thesis describes basic principles governing the use of evolutionary algorithms. Thesis deals with the usage of the evolutionary algorithms for scheduling the work between group of employees. Genetic algorithms, which represents intelligent stochastic optimization techniques based on the mechanism of natural selection and genetics are mainly used to solve this problem. Each solution is represented as an individual in population and only the most adapted ones are selected for the process of reproduction.

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