Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law.
Konstantin RiedlPublished in: CoRR (2022)
Keyphrases
- global convergence
- gradient information
- coordinate ascent
- optimization methods
- global optimum
- convergence analysis
- convergence speed
- convergence rate
- line search
- convex minimization
- step size
- globally convergent
- particle swarm
- image gradient
- optimization method
- objective function
- particle swarm optimization
- pso algorithm
- global optimization
- optimization algorithm
- em algorithm
- optimization problems
- markov random field