基于演化算法的实因式分解

Real factorization based on evolutionary algorithms

针对线性定常闭环系统特征方程的求根问题,提出了一种基于演化算法的实因式分解法。该法先将实因式分解问题转化为数值优化问题,再用基于混合杂交与间歇变异的演化算法求解该优化问题。数值实验结果表明了所提方法的有效性。

A real factorization method based on evolutionary algorithms is proposed for finding tbe roots of the characteristic equation of a linear time-invariant closed-loop system. The proposed method transfers the real factorization problem into a numeric optimization problem, which is solved by an evolutionary algorithm based on hybrid crossovers and intermittent mutation. Numeric experiments showed the effectiveness of the proposed method.