A deep learning-based edge caching optimization method for cost-driven planning process over IIoT.
Bowen LiuXutong JiangXin HeLianyong QiXiaolong XuXiaokang WangWanchun DouPublished in: J. Parallel Distributed Comput. (2022)
Keyphrases
- optimization method
- deep learning
- planning process
- optimization algorithm
- genetic algorithm
- evolutionary algorithm
- unsupervised learning
- metaheuristic
- differential evolution
- planning systems
- machine learning
- mental models
- simulated annealing
- production planning
- nelder mead simplex
- development process
- probabilistic model
- dynamic programming
- optimal solution
- multiscale
- artificial intelligence
- neural network