NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training.
Binghang LuChristian B. MoyaGuang LinPublished in: CoRR (2023)
Keyphrases
- optimization method
- neural network training
- multi objective
- optimization algorithm
- evolutionary algorithm
- genetic algorithm
- optimization methods
- multi objective optimization
- differential evolution
- optimization process
- global optimum
- particle swarm
- particle swarm optimization
- nsga ii
- simulated annealing
- objective function
- evolutionary computation
- optimization procedure
- particle swarm optimisation
- optimization problems
- particle swarm optimization pso
- quasi newton
- artificial intelligence
- metaheuristic
- genetic programming
- fitness function
- training data
- nelder mead simplex
- training algorithm
- mutation operator
- data fusion
- premature convergence