Aerospace Instrument-Making Annotation << Back Parameter Optimization for a Space Tug Trajectory Control Algorithm Using a Genetic Algorithm Efendieva A.A., Shatskii M.A. A method for parametric optimization of the trajectory control algorithm for a space tug with a low thrust-to-weight ratio is proposed. The optimization aims to minimize statistical measures of the spacecraft insertion errors onto the target orbit for the entire ensemble of simulated perturbations. During the statistical simulation of the trajectory control algorithm, each realization accounts for deviations of the space tug’s engine thrust and mass from their nominal values, as well as random insertion errors of the space tug onto the initial orbit by the launch vehicle. A genetic algorithm adapted to a multicriteria stochastic objective function is used to solve the optimization problem. The scientifi c novelty lies in the development of an integrated approach that combines statistical perturbation modeling and a genetic algorithm, which makes it possible to automate the tuning of control parameters. The key element of the approach is the proposed fitness function, which aggregates, with specific weights, the statistical accuracy metrics for all Keplerian orbital elements. As a result, a set of parameters for the trajectory control algorithm is obtained, ensuring the fulfillment of the accuracy requirements for all realizations. It is shown that the proposed method outperforms the traditional heuristic approach. Keywords: Space Tug, Trajectory Control Algorithm, Genetic Algorithm, Spacecraft Insertion Accuracy, Statistical Simulation. DOI: 10.25791/aviakosmos.5.2026.1554 Pp. 03-15.