A Kriging-based algorithm to optimize production systems approximated by analytical models.
Andrea MattaMatteo PezzoniQuirico SemeraroPublished in: J. Intell. Manuf. (2012)
Keyphrases
- production system
- experimental evaluation
- objective function
- optimal solution
- computational complexity
- detection algorithm
- learning algorithm
- k means
- np hard
- times faster
- high accuracy
- significant improvement
- preprocessing
- multiprocessor architecture
- simulated annealing
- matching algorithm
- black box
- clustering method
- segmentation algorithm
- computational cost
- dynamic programming
- cost function
- optimization algorithm
- multistage
- convergence rate
- association rules
- production process
- analytical models
- polynomial time approximation
- artificial intelligence