Improved Approximation Algorithm for k-Level UFL with Penalties, a Simplistic View on Randomizing the Scaling Parameter.
Jaroslaw ByrkaShanfei LiBartosz RybickiPublished in: WAOA (2013)
Keyphrases
- experimental evaluation
- np hard
- learning algorithm
- cost function
- computational complexity
- improved algorithm
- theoretical analysis
- parameter tuning
- detection algorithm
- particle swarm optimization
- search space
- computational cost
- preprocessing
- times faster
- error bounds
- probabilistic model
- dynamic programming
- similarity measure
- neural network
- parameter settings
- clustering method
- recognition algorithm
- error tolerance
- optimal parameters
- convergence rate
- convex hull
- tree structure
- optimization algorithm
- segmentation algorithm
- expectation maximization
- simulated annealing
- high accuracy