Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm.
Ping ZhouMingjie LiDongwei GuoHong WangTianyou ChaiPublished in: Neurocomputing (2017)
Keyphrases
- hybrid algorithm
- differential evolution
- multi objective
- nsga ii
- optimal solution
- particle swarm optimization
- tabu search
- genetic algorithm
- evolutionary algorithm
- multi objective optimization
- optimization method
- test problems
- optimization algorithm
- lower bound
- particle swarm optimization pso
- multiobjective optimization
- wavelet neural network
- training process
- simulated annealing
- premature convergence