[ACM Press the Genetic and Evolutionary Computation Conference Companion - Prague, Czech Republic (2019.07.13-2019.07.17)] Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '19 - Immune and genetic hybrid optimization algorithm for data relay satellite with microwave and laser links

摘要： Aiming at the problem of oversubscription of data relay access request of user stars in future Space-Based Information System, the problem of resource scheduling optimization for data relay satellite system with microwave and laser hybrid links is studied. The characteristics of the hybrid links are analyzed. A multi- objective programming model on static resource scheduling constraint satisfaction problem is established, and a hybrid optimization algorithm integration of artificial immune strategies, niche ideas and improved genetic algorithm is put forward to solve the scheduling model. Simulation results show that the hybrid optimization algorithm optimizes the model quickly, and the ability of global optimization and performs well in convergence. The results validate the static resource scheduling model could accurately describe the microwave and laser hybrid links relay satellite system resource scheduling problem with multi-tasking and multi-type antenna1.