A simulated parameter optimization method-based manifold learning for a production process.
Gang XuQianqian DongMin LiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- optimization method
- manifold learning
- production process
- production system
- optimization algorithm
- dimensionality reduction
- genetic algorithm
- nonlinear dimensionality reduction
- semi supervised
- low dimensional
- simulated annealing
- evolutionary algorithm
- differential evolution
- high dimensional
- nelder mead simplex
- metaheuristic
- production cost
- production planning
- dimension reduction
- high dimensional data
- production line
- multi objective
- feature space
- multi dimensional
- feature extraction
- sparse representation
- image processing
- multiscale
- pattern recognition
- machine learning
- low dimensional manifolds
- optimization problems