2023/01/07 by Song, Yanjie
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
paper · doi:10.48550/arxiv.2301.02764
For complex combinatorial optimization problems, models and algorithms are at the heart of the solution. The complexity of many types of satellite mission planning problems is NP-hard and places high demands on the solution. In this paper, two types of satellite scheduling problem models are introduced and a reinforcement learning based evolutionary algorithm framework based is proposed.