Finite-Time Convergence of Continuous-Time Optimization Algorithms via Differential Inclusions.
Orlando RomeroMouhacine BenosmanPublished in: CoRR (2019)
Keyphrases
- optimization problems
- learning algorithm
- orders of magnitude
- discrete optimization
- significant improvement
- theoretical justification
- stochastic search
- global convergence
- theoretical analysis
- efficient optimization
- convergence speed
- optimization procedure
- approximately optimal
- neural network
- optimization process
- optimization methods
- times faster
- differential evolution
- benchmark datasets
- feature selection