A stochastic multiple gradient descent algorithm.
Quentin MercierFabrice PoirionJean-Antoine DésidériPublished in: Eur. J. Oper. Res. (2018)
Keyphrases
- cost function
- learning algorithm
- optimization algorithm
- objective function
- experimental evaluation
- convergence rate
- dynamic programming
- simulated annealing
- computational complexity
- np hard
- matching algorithm
- theoretical analysis
- neural network
- computational cost
- worst case
- times faster
- monte carlo
- improved algorithm
- stochastic approximation
- computationally efficient
- preprocessing
- clustering method
- ant colony optimization
- linear programming
- high accuracy
- optimal solution
- image segmentation