The primary purpose of this thesis is to further advance the development of a modular hybrid meta-heuristic optimization tool and then apply it for the ESA European Large Logistic Lander (EL3) RCS thrusters' orientation optimization problem. This study was conducted in Thales Alenia Space (TAS), in response to the desire of the GNC group to have a tool for fastest optimization of complex functions during different project phases. Most real-world optimizations are highly nonlinear and multimodal, under various complex constraints. A study has been carried on hybrid optimization, focusing on the island model, coupled with a survey on metaheuristic algorithms used in this field.