Revolutionizing Parameter Estimation: Evolution Strategies for Optimal Solutions in Statistics
The article explores using evolution strategies with the maximum likelihood method for parameter estimation in statistics. By combining these two methods, researchers were able to find globally optimal solutions without being influenced by initial values. The study focused on parameter estimation using the Weibull distribution and found that this approach led to highly accurate results with fast convergence rates. Overall, the evolution strategy algorithm proved to be effective in improving mathematical statistics.