The estimation of distribution algorithms ( edas ) based on mixtures of factor analyzers is proposed 摘要提出了一種基于混合因子分析的分布估計算法。
The selected optimal individuals are clustered with rival penalized competitive learning algorithm , and for each single cluster , the factor analyzer model is used to estimate its distribution information 首先用次勝者受罰的競爭學(xué)習(xí)算法對選出的最優(yōu)個體集合聚類,然后對每個類用因子分析模型進行分布信息的估計。