Evolution Strategies with Additive Noise: A Convergence Rate Lower Bound.
Sandra Astete MoralesMarie-Liesse CauwetOlivier TeytaudPublished in: FOGA (2015)
Keyphrases
- convergence rate
- additive noise
- evolution strategy
- lower bound
- convergence speed
- competitive ratio
- upper bound
- evolutionary algorithm
- global search
- particle swarm optimization algorithm
- noisy images
- spatial domain
- step size
- maximum likelihood
- evolutionary programming
- differential evolution
- branch and bound algorithm
- genetic algorithm
- branch and bound
- np hard
- random variables
- gradient method
- speech signal
- mutation operator
- objective function
- optimal solution
- optimization methods
- particle swarm optimisation
- multiscale
- signal processing
- hidden markov models
- feature extraction
- edge detection
- neural network