摘要
为了提高MIMIC算法的局部求精能力,将MIMIC算法与模式搜索法相结合,提出一种改进的MIMIC算法,并将其应用在悬臂梁优化设计中,通过实验仿真,得到的最优值相比其他算法有了明显提高,为非线性约束优化问题提供了一个新的思路和方法.
In order to improve the local refinement ability of MIMIC algorithm, we propose a novel improved MIMIC algorithm which combined both MIMIC algorithm and pattern search method, and then we apply it in optimal design of cantilever beam. From simulation experiments, the optimal value is obtained by this new algorithm, which has imporved significantly compared with the other algorithms. Therefore, it provides a new thinking and method for the nonlinear constrained optimization problem.
出处
《宁夏师范学院学报》
2017年第3期66-71,共6页
Journal of Ningxia Normal University
基金
太原科技大学校研究生教改项目(20133001)