该算法是张青复与周爱民的基于RM-MEDA算法的程序，该程序可用于优化MOP问题,The algorithm is complex and Ai-Min Zhou Qing-based algorithm RM-MEDA program, the program can be used to optimize the MOP problem

解决多目标优化问题的算法,主要基于概率模型的建立-RM-MEDA: A Regularity Model Based Multiobjective Estimation of Distribution Algorithm

时域解卷积的有关算法，med,mckd meda ,omeda,momeda等(The relevant algorithms for time domain deconvolution, Med, MCKD MEDA, omeda, momeda and so on)

目前 看到效果最好的 文章 迁移学习，文章：Visual Domain Adaptation with Manifold Embedded Distribution Alignment ，王晋东(Probably,the most effective article transfer learning,Visual Domain Adaptation with Manifold Embedded Distribution Alignment , Wang ji dong)