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中文摘要：
借鉴K-S检验的思想,应用到copula分布估计算法边缘分布函数的选取中.在估计概率模型阶段,根据实际样本点来建立模型确定所服从的边缘分布函数,其中采用多种不同的分布函数（柯西分布、t分布和正态分布等）作为候选的边缘分布函数.在参数估计阶段,采用PMLE估计copula函数参数的方式进行仿真实验.根据所服从的不同的边缘分布分别进行采样,从而增加种群多样性,改善基于copula分布估计算法的执行效率.
英文摘要：
The thought of K-S test was applied to the selection of marginal distribution in copula estimation of distribution algorithms. In the estimation of the probability model of the phase, the actual samples were used to establish a model to determine the obedience of the marginal distribution function, and many different distributions （the function of Cauchy distribution, t distribution and normal distribution etc. ）were adopted as candidates for the marginal distribution function. In the parameter estimation stage, PMLE was used to estimate copula function to make the emulation experiment. According to the obedience of the different marginal distribution function to sample separately, the diversity of the population was increased, and an execution efficiency of the estimation of distribution algorithms based on copula was improved.
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