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Assessing the reliability of systems plays an effective role in the constellation design. Genetic Algorithm can be appli d for he optimization design of satellite constella ion, which are imp rative in various fields like communication, surveillance and navi ation. Opposite goals, such as optimizing performance and reducing the number of satellites in constellations along with low cost of construction and launch, have been analyzed in this paper. In the design of constellations, launching and replacing unhealthy satellites to avoid breakdown, and the time costing has a major impact on the level of system reliability performance. A method to design hybrid constellation for communication and navigation is proposed in this paper, it takes coverage capability and precession into nsideration. According to LEO constellation, The issue of pt mizing the number of satellites and other effective panels in constellation design has bee discussed. The genetic algorithm is designed to the hybrid LEO constellations design by using a methodology of coverage constellation. It provides the optimal solutions for enhancing capability of communication and navigation. The simulation results confirm the performance of the proposed algorithm and indicates that it is feasible and effective. Accordingly, in this paper, after designing the constellations using the genetic algorithm, w draw the final c nstellation di gram block and evaluating the conspicuous performance and reliability at the time of request.

LEO Hybrid Satellite Constellation Design Based on Multi-purpose Genetic Algorithm to Optimize Cost and Reliability of Global Coverage