A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training.
Seyed Jalaleddin MousaviradAmir H. GandomiHassan HomayounPublished in: CEC (2022)
Keyphrases
- differential evolution
- neural network training
- optimization method
- objective function
- optimization procedure
- global optimum
- evolutionary algorithm
- optimization algorithm
- multi objective
- convergence speed
- differential evolution algorithm
- neural network
- particle swarm optimization
- test functions
- mutation operator
- training algorithm
- particle swarm optimization pso
- optimization problems
- genetic algorithm
- particle swarm
- premature convergence
- optimal solution
- hybrid algorithm
- multi objective optimization
- particle swarm optimisation
- optimization methods
- cost function
- evolution strategy
- model selection
- constrained optimization
- linear programming
- evolution process
- parameter optimization
- nsga ii
- global optimization problems
- evolutionary programming
- feasible solution
- back propagation
- metaheuristic
- function optimization
- evolutionary computation
- pso algorithm
- crossover operator