Quantitative analysis based tuning law for convergence rate of Spiral Optimization.
Kenichi TamuraKeiichiro YasudaPublished in: SMC (2012)
Keyphrases
- quantitative analysis
- convergence rate
- global convergence
- faster convergence rate
- convergence speed
- step size
- qualitative analysis
- learning rate
- line search
- qualitative and quantitative analysis
- faster convergence
- qualitative evaluation
- primal dual
- optimization algorithm
- mutation operator
- global search
- gradient method
- neural network
- global optimization
- stochastic gradient descent
- numerical stability
- wavelet neural network
- sparse representation
- number of iterations required
- collaborative learning
- clustering algorithm