Training neural networks via simplified hybrid algorithm mixing Nelder-Mead and particle swarm optimization methods.
Shih-Hui LiaoJer-Guang HsiehJyh-Yeong ChangChin-Teng LinPublished in: Soft Comput. (2015)
Keyphrases
- particle swarm
- hybrid algorithm
- optimization methods
- optimization method
- simulated annealing
- neural network
- particle swarm algorithm
- hybrid optimization algorithm
- genetic algorithm
- particle swarm optimization
- premature convergence
- differential evolution
- optimisation problems
- nelder mead
- global convergence
- evolutionary algorithm
- simplex search
- optimization algorithm
- simplex algorithm
- particle swarm optimisation
- optimization problems
- search capabilities
- global optimum
- pso algorithm
- tabu search
- particle swarm optimization pso
- metaheuristic
- convergence speed
- ant colony optimization
- artificial neural networks
- unconstrained optimization
- fuzzy logic
- optimization procedure
- particle swarm optimization algorithm
- multi objective
- genetic algorithm ga
- solution space
- differential evolution algorithm
- vehicle routing problem
- computational complexity