On the convergence rate of a Distributed Augmented Lagrangian optimization algorithm.
Nikolaos ChatzipanagiotisMichael M. ZavlanosPublished in: ACC (2015)
Keyphrases
- optimization algorithm
- convergence rate
- augmented lagrangian
- constrained optimization problems
- primal dual
- differential evolution
- multi objective
- global convergence
- convergence speed
- step size
- learning rate
- linear programming problems
- optimization method
- constrained optimization
- total variation
- convex optimization
- particle swarm optimization pso
- mutation operator
- artificial bee colony
- evolutionary algorithm
- nsga ii
- regularization term
- particle swarm optimization
- simplex method
- lagrange multipliers
- multiresolution
- support vector
- particle swarm optimisation
- search algorithm
- search space
- interior point methods
- objective function
- hybrid algorithm
- cost function
- particle swarm optimization algorithm
- natural images
- loss function