Accelerating the Branch-and-Price Algorithm Using Machine Learning.
Roman VáclavíkAntonín NovákPremysl SuchaZdenek HanzálekPublished in: Eur. J. Oper. Res. (2018)
Keyphrases
- machine learning
- learning algorithm
- dynamic programming
- theoretical analysis
- optimization algorithm
- experimental evaluation
- detection algorithm
- cost function
- particle swarm optimization
- significant improvement
- path planning
- selection algorithm
- clustering method
- times faster
- convergence rate
- improved algorithm
- segmentation algorithm
- estimation algorithm
- computationally efficient
- input data
- worst case
- np hard
- preprocessing
- expectation maximization
- matching algorithm
- machine learning systems
- objective function
- search algorithm
- computational complexity
- search space
- machine learning methods
- k means
- machine learning algorithms
- active learning
- computational cost
- linear programming
- data mining