Design Optimization Based on Neural Networks And Ant Colony Optimization

In order to raise the design efficiency and get the most excellent design effect, this paper combined ant colony optimization (ACO) algorithm and neural networks, which based on ACO algorithm and the implementing framework of ACO. It gives the basic theory and steps; The test results show that rapid global convergence and reached the lesser mean square error(MSE) when compared with genetic algorithm, simulated annealing algorithm, the BP algorithm with momentum term.