Parameters Optimization of Satellite Structure Based on Artificial Neural Networks and Genetic Algorithms
Qing Chen · Equipment Manufacturing Technology · 2012
Considering the weight and the first eigenfrequency of the satellite structure,a multi-objective optimization design model of the satellite structure is presented.Using combination of BP neural networks and genetic algorithm,a program is designed for the structure optimization.This method uses not only the nonlinear mapping,network reasoning and predicting of the neural networks,but also the global optimal characteristics of genetic algorithm,which gains a reasonable optimization effect.The example shows that the technique has better calculating rate and precision than those with traditional optimization methods.