| Abstract [eng] |
Research area - genetic algorithms approach to aggregate and use modeling complex systems. Work objective - the application of genetic algorithms in formal methods, systems imitation modeling, to find optimal settings. This work proposed new usage of aggregate method and genetic algorithm to describe system models. The system parameters of the model are used as the individual's chromosomes in genetic algorithm, and the system model used as a utility function of genetic algorithm. It also proposed other aggregate approach, the genetic algorithm used for the transition operator, followed by the population structure. This allows the simulation of biological, agent, self-regulating systems. |
