New method boosts accuracy of optimization algorithms, revolutionizing problem-solving efficiency.
The researchers found that by using a secondary optimization method, they were able to improve the results of stochastic optimization algorithms. This method is based on statistical theory and the Newton method. The experiments showed that the secondary optimization method had higher accuracy and better stability compared to the average method when dealing with multiple optimization results.