Global optimization through a stochastic perturbation of the Polak-Ribière conjugate gradient method.
Raouf ZiadiRachid EllaiaAbdelatif Bencherif-MadaniPublished in: J. Comput. Appl. Math. (2017)
Keyphrases
- global optimization
- conjugate gradient method
- conjugate gradient
- particle swarm optimization
- objective function
- convergence property
- pso algorithm
- positive definite
- global solution
- training algorithm
- faster convergence
- iterative methods
- imperialist competitive algorithm
- neural network
- covariance matrix
- convergence speed
- k means
- image segmentation