Analysis of the Convergence Speed of the Arimoto-Blahut Algorithm by the Second Order Recurrence Formula.
Kenji NakagawaYoshinori TakeiShin-ichiro HaraKohei WatabePublished in: CoRR (2020)
Keyphrases
- convergence speed
- convergence rate
- learning algorithm
- particle swarm optimization algorithm
- particle swarm optimization
- objective function
- faster convergence
- global search
- hybrid algorithm
- global convergence
- optimization algorithm
- search algorithm
- mathematical model
- cost function
- premature convergence
- search capabilities
- quantum behaved particle swarm optimization
- steady state error
- computational efficiency
- neural network
- optimization problems
- global optimum
- search space
- optimal solution
- particle swarm optimizer
- steepest descent method