宁夏大学学报（自然科学版）2017，Vol.38Issue(2)：158-161,4.
改进的MIMIC算法在机械优化中的应用
Application of Improved MIMIC Algorithm in Mechanical Optimization
摘要
Abstract
The dual variables related to the distribution of the estimation algorithm is combined with particle swarm algorithm respectively,and a new algorithm is put forward to solve nonlinear constraint optimization problems in mechanical engineering.The new algorithm not only maintains the advantages of strong global search ability of the distribution estimation algorithm,but also combines the advantages of strong local search ability of particle swarm algorithm,and increases the diversity of the population and improves the performance of the algorithm.The improved algorithm is applied to pressure vessels and optimal design of box girder.The numerical experiments show that the new algorithm is effective in dealing with the nonlinear constraint problem and has the very high value of engineering practicability.关键词
分布估计算法/MIMIC算法/微粒群算法/多约束优化Key words
estimation of distribution algorithms/MIMIC algorithm/hybrid particle algorithm/More constrained optimization分类
数理科学引用本文复制引用
夏桂梅,张文林,张丹..改进的MIMIC算法在机械优化中的应用[J].宁夏大学学报（自然科学版）,2017,38(2):158-161,4.基金项目
山西省自然科学基金资助项目(2014011006-2) （2014011006-2）
太原科技大学研究生教改项目(20133001) （20133001）
