Knowledge Acquisition by Cooperative Distributed Evolutionary Algorithms with divide and conquer approach

提出了一种基于分而治之的协作分布式进化算法的知识获取方法。通过提前分解问题空间，我们可以预期该方法能够使进化算法保持遗传信息的多样性。我们使用分布估计算法作为进化算法。在研究期间，我们集中精力扩展EDAS以获取知识。

This study proposes a knowledge acquisition method by cooperative distributed evolutionary algorithms with divide and conquer approach. By decomposing problems spaces in advance, we can expect that the proposed method enables evolutionary algorithms to maintain the diversity in genetic information. We employ Estimation of Distribution Algorithms as Evolutionary Algorithms. We have concentrated to extend the EDAs to acquire knowledge during the research period.