宁夏大学学报（自然科学版）2017，Vol.38Issue(3)：224-228,5.
结合Rosenbrock算法的混合MIMIC算法
A Hybrid MIMIC Algorithm Combined with Rosenbrock Algorithm
摘要
Abstract
Estimation of distribution algorithm is a kind of evolutionary algorithms which is based on group and has a strong global search capability,but its partial refinement capacity is weak and it easier to premature.Therefore,to compensate the disadvantage of estimation of distribution algorithms in partial search,Rosenbrock algorithm which has a strong local refinement ability and fast convergence rate is introduced to improve the estimation of distribution algorithm,and a hybrid MIMIC algorithm combined with Rosenbrock algorithm is proposed.Through the simulation test algorithm performance and comparing the results with the standard MIMIC algorithm,a conclusion is reached that the mixed MIMIC algorithm combined Rosenbrock algorithm have great improvement in the partial refinement ability and convergence.关键词
分布估计算法/Rosenbrock算法/MIMIC算法Key words
estimation of distribution algorithms/Rosenbrock algorithm/MIMIC algorithm分类
数理科学引用本文复制引用
夏桂梅,张丹..结合Rosenbrock算法的混合MIMIC算法[J].宁夏大学学报（自然科学版）,2017,38(3):224-228,5.基金项目
山西省自然科学基金资助项目(2014011006-2) （2014011006-2）
太原科技大学校研究生教改项目(20133001) （20133001）
