关键词: 深度学习, 双层迭代循环搜索, 资源投入问题, 启发式规则, 调度

Abstract: An intelligent decision-making scheme of scheduling priority rules based on real-time scheduling state was presented for resource and job scheduling of resource investment problem,and a double-layer iterative cyclic search algorithm based on artificial neural network was proposed.The upper stage of the algorithm was a heuristic resource search framework,and the lower stage was an intelligent decision-making algorithm of scheduling priority rules based on real-time scheduling status.The lower stage of algorithm obtained the mapping relationship between scheduling status and scheduling priority rules through off-line learning of double hidden layer BP neural network.The scheduling priority rules were decided intelligently at each stage of real-time scheduling process,which guided job scheduling according to current scheduling data.The effectiveness of the designed algorithm was verified by comparison with other literature algorithm through experiments with PSPLIB.

Key words: deep learning, double-layer iterative cyclic search, resource investment problem, heuristic priority rule, scheduling