Solving the Linear Variational Inequality by Interval Evolution Algorithm
Ming Zhang, Yongquan Zhou · 2009
This paper presents a solution to linear variational inequality by interval evolution strategies based on the question that iterative algorithm of traditional numerical computer can not satisfy parallel in solving variational inequality. The numerical solution used to solve linear variational inequality with interval evolution strategies sufficiently exerted the advantage of evolution strategies such as group search and global convergence, and it satisfies the question of parallel solute the linear variational inequality in engineering technique. The numerical computation results indicate that the algorithm offers an effective way to solve linear variational inequality, high convergence rate, high accuracy and robustness.