Optimization of Neural Network Training with ELM Based on the Iterative Hybridization of Differential Evolution with Local Search and Restarts.
David SoteloDaniela VelásquezCarlos CobosMartha MendozaLuís GómezPublished in: LOD (2018)
Keyphrases
- differential evolution
- optimization method
- neural network training
- solving global optimization problems
- optimization algorithm
- hybrid algorithm
- genetic algorithm
- evolutionary algorithm
- convergence speed
- global search
- evolution strategy
- optimization methods
- parameter optimization
- particle swarm optimization
- differential evolution algorithm
- test functions
- global optimization problems
- real coded
- particle swarm
- mutation operator
- multi objective optimization
- premature convergence
- evolutionary strategy
- particle swarm optimization pso
- simulated annealing
- neural network
- optimization problems
- evolution process
- search algorithm
- global optimization
- particle swarm optimisation
- crossover operator
- objective function
- search space
- multi objective evolutionary algorithms
- evolutionary programming
- training algorithm
- pso algorithm
- tabu search
- fitness function
- function optimization
- inertia weight
- candidate solutions
- evolutionary computation
- metaheuristic
- fuzzy logic
- particle swarm optimization algorithm