一种基于随机排序法的混合MIMIC算法

A Hybrid MIMIC Algorithm Based on Stochastic Ranking

通过随机排序法思想定义panduan函数来处理约束条件,提出一种基于随机排序法的混合MIMIC算法,改进后的MIMIC算法能够搜索到非线性约束优化问题的最优解.数值试验表明:该算法具有很强的全局搜索能力,能收敛到满足约束条件的全局最优解,是解决非线性约束优化问题的一种有效算法.

A hybrid MIMIC algorithm based on stochastic ranking is proposed in this paper by means of the random ranking method to define panduan function in order to solve the constraint condition. The improved MIMIC algorithm is able to detect the optimal solution of nonlinear constraint optimization problem. The numerical experimentation indicates that the proposed algorithm has stronger global search ability and is able to converg the globally optimalsolution to meet the need of constraint condition. Therefore, such an algorithm is an effective arithmetic to solve nonlinear constraint optimization problem.