A comparative study of the leading machine learning techniques and two new optimization algorithms.
Philipp BaumannDorit S. HochbaumYan T. YangPublished in: Eur. J. Oper. Res. (2019)
Keyphrases
- optimization problems
- theoretical analysis
- machine learning algorithms
- computational cost
- computationally efficient
- benchmark datasets
- efficient optimization
- discrete optimization
- optimization methods
- times faster
- machine learning methods
- computational efficiency
- optimization algorithm
- orders of magnitude
- learning algorithm
- data clustering
- simulated annealing
- comparative study
- graph theory
- significant improvement
- image segmentation