本文针对实际应用中一类平衡指派问题展开研究。
The thesis firstly talks about a balance assignment problem in practical application.
建立了平衡指派问题的数学模型，给出了问题的求解方法。
Build the mathematics model of the balance assignment problem, and then offer solutions to the problems.
经验证用这个方法求解最大值的不平衡指派问题，操作简单，易于编程。
It is proved this method is simple for operating and easy for programming on resolving unequally assignment problem.
对于非平衡指派问题，建立了非平衡指派问题的数学模型后，文中介绍了将其转化为平衡指派问题的方法。
To the unbalanced assignment problem, after building its mathematics model, the article introduces the method that changes the unbalanced assignment problem into balanced assignment problem.
讨论了非平衡B指派问题的求解算法，给出了暂态混沌神经网络模型，并描述了非平衡B指派问题，提出了基于暂态混沌神经网络的非平衡B指派问题的求解算法。
The solution of imbalance B-assignment problem is studied. An assignment's model and network are discussed, and then a new algorithm based on transient chaotic neural networks is proposed.
讨论了非平衡B指派问题的求解算法，给出了暂态混沌神经网络模型，并描述了非平衡B指派问题，提出了基于暂态混沌神经网络的非平衡B指派问题的求解算法。
The solution of imbalance B-assignment problem is studied. An assignment's model and network are discussed, and then a new algorithm based on transient chaotic neural networks is proposed.
应用推荐