本文用于揭示复杂网络中社区结构的多目标遗传算法。该算法可检测具有组间稀疏连接且组内紧密联结的节点并定义了两个目标函数对检测方法进行了优化。通过仿真及现实中的实验验证，该算法可以成功的检测社区结构。-This paper presents a method for revealing the community structure of complex networks in multi-objective genetic algorithm. The algorithm can detect with sparse connections between groups and within groups of closely connected nodes and define the objective function of the two detection methods were optimized. This method produces a series of hierarchical network part, which contains more of the deep part of the community the community by the solution contains less control. Number of community exchange by a better objective function value is determined automatically. Through simulation and real experimental verification, the algorithm can successfully detect the community structure.