Multi-satellite Observation Scheduling Algorithm Based on Hybrid Genetic Particle Swarm Optimization

摘要

Multi-satellite observation scheduling is a complex combinatorial optimization problem while the optimization process is very complicated. Given this, in this paper we propose an effective hybrid optimization method based on the combination of particle swarm optimization (PSO) and genetic algorithm (GA). Using this method, it greatly improves the efficiency of the optimization. Simulation result demonstrates the effectiveness of hybrid algorithm can efficiently solve the scheduling problem of multi-satellite observations. Simulation result demonstrates that the hybrid algorithm can efficiently solve the scheduling problem of multi-satellite observations.