OPTIMIZATION OF PARAMETERS OF COMPLEX SYSTEMS BASEDON A GENETIC ALGORITHM WITH STATE PREDICTION USINGTHE KALMAN FILTER
The paper addresses the problem of parameter optimization for complex dynamic systems operating under uncertainty, measurement noise, and limited computational resources. A novel method is proposed that combines a genetic algorithm with Kalman-filter-based state estimation and prediction. This integration improves the...