Solving fixed point equation by artificial fish school algorithm
求解不动点方程的人工鱼群算法

Solving fixed point equation by traditional iterative algorithm not only has the very big relation with the initial point but also cannot satisfy parallel. This paper presented a novel improved artificial fish school algorithm to solving fixed point equation. The algorithm achieved parallel and global solution, and it overcame the influence of the initial point. Meanwhile added Cauchy iterative sequence in preying behavior to find the solution of high-precision and improve convergence. Several simulation experiments have confirmed this algorithm validity.