解决大规模优化问题的一个有效途径是分解协调法 .在总结优化任务分解两种方法的基础上 ,提出一种层次型任务分解的策略 ,建立了任务分解的模型 ,并结合数学规划的算法进行求解 .实例说明所建立的任务分解模型的合理性 ,分枝定界算法能有效地减少搜索空间 ,得到较好的分解结果 . An effective way to solve the large-scale optimization problem is to decompose coordination method.On the basis of summarizing two methods of optimizing task decomposition, a hierarchical task decomposition strategy is proposed and a task decomposition model is established and combined with the mathematical programming algorithm The example illustrates the rationality of the task decomposition model established, and the branch and bound algorithm can effectively reduce the search space and get a better decomposition result.