Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation.
Miguel Martínez-ComesañaJavier Martínez-TorresPablo Eguía-OllerPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- nsga ii
- multi objective optimisation
- neural network
- multi objective
- genetic algorithm
- multi objective optimization
- recurrent neural networks
- evolutionary algorithm
- test problems
- multiobjective optimization
- multiobjective evolutionary algorithm
- pareto optimal
- optimization problems
- optimization algorithm
- multi objective differential evolution
- evolutionary multiobjective
- multi objective optimization problems
- constrained multi objective optimization problems
- evolutionary multiobjective optimization
- fitness function
- optimal solution
- multi objective evolutionary algorithms
- uniform design
- differential evolution
- bi objective
- pareto dominance
- knapsack problem
- multi objective problems
- objective function
- multiple objectives
- neural network model
- fuzzy systems
- benchmark problems
- evolutionary computation
- feed forward
- network model
- pareto optimal solutions
- fuzzy logic
- lower bound
- multi objective genetic algorithm
- back propagation
- artificial immune system
- metaheuristic
- search algorithm
- branch and bound algorithm