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把一类企业的生产日计划优化安排问题归结为解多重约束组合优化问题，并把此组合优化问题分解为主要解多次的高维子集和问题，而对于子集和问题，采用改进的离散反馈神经网络方法进行求解。实际计算结果表明该方法是较为有效实用的
The problem of scheduling optimization of a company’s production day is summed up as solving multiple constrained combinatorial optimization problems, and the combinatorial optimization problem is decomposed into high-dimensional sub-sets and problems that are mainly solved multiple times. For the sub-sets and problems, improved discrete feedback Neural network method to solve. The actual calculation results show that the method is more effective and practical