Neural Network Genetic Algorithm for Extreme Value Optimization
Nonlinear Function Extremum Optimization
Neural Network Genetic Algorithm for Extreme Value Optimization
This methodology combines neural networks with genetic algorithms, where neural networks are trained to approximate optimization functions through backpropagation algorithms, while genetic algorithms perform extremum optimization using selection, crossover, and mutation operations. Computational validation demonstrates that the curve generated using parameters obtained through this method aligns perfectly with experimental data.