An Adaptive Univariate Global Optimization Algorithm and Its Convergence Rate for Twice Continuously Differentiable Functions.
James M. CalvinYvonne ChenAntanas ZilinskasPublished in: J. Optim. Theory Appl. (2012)
Keyphrases
- optimization algorithm
- convergence rate
- multi objective
- convergence speed
- step size
- learning rate
- differential evolution
- number of iterations required
- optimization method
- particle swarm optimization pso
- optimization strategy
- global convergence
- evolutionary multi objective
- gradient method
- mutation operator
- evolutionary algorithm
- objective function
- premature convergence
- artificial bee colony
- particle swarm optimisation
- faster convergence rate
- control parameters
- hybrid optimization algorithm
- search algorithm
- multi objective optimization
- wavelet neural network
- loss function
- numerical stability
- global optima
- lp norm