| Popis: |
The paper considers the algorithm of diagnostics of the technical system States at future time points by extrapolation of the results of current observations using a genetic algorithm. The novelty of this work lies in the fact that the proposed algorithm is able to generate predictions of technical system States using predictive algorithms and mathematical rules. The paper offers an original view on the use of genetic algorithm as an independent predictive algorithm. The described algorithm is a combination of a modified genetic algorithm and a number of mathematical rules. So, as a modification of the genetic algorithm, its parallel variant (island model) is used, and as a fitness function, a function is used that tests new alternative solutions for distance from the geometric representation of the averaged values of the time series graph. The algorithm performs prediction for a given number of time intervals ahead, for processes that are affected by a limited number of external factors. The efficiency of the algorithm was confirmed by an experiment, which resulted in a predictive solution, the General direction of the process (which was tested in practice). |
