Operators of mutation and crossover in a genetic algorithm for construction of axiomatic systems
E. A. Vasin · Moscow University Computational Mathematics and Cybernetics · 2007
In this paper, the problem of automated recognition of anomalies in the behavior of complicated dynamical systems is solved by means of analyzing trajectories obtained from sensors surrounding the system. A specific feature of the problem consists in the fact that, depending on the individual properties of the system and conditions of its operation, trajectories that contain anomalies may significantly differ from each other in amplitude and length. The algorithm employed here for solving the problem of recognition of anomalies in the behavior of the system under investigation is based on the idea of applying the algebraic approach to the labeling of time series. This algorithm can be adjusted to peculiarities of a particular dynamical system; such adjustment can be performed with the help of an algorithm belonging to the class of genetic algorithms.