Multicriteria Optimization of the Trajectory Tracking Filtering Procedure by Genetic Algorithm

For the Interacting Multiple Model (IMM) method of trajectory tracking, a genetic optimization procedure is proposed that optimizes its internal parameters. For trajectory filtering, the quality of the algorithm is determined by not one but multiple criteria. The proposed optimization algorithm makes it possible to improve and identify Pareto-optimal solutions.