分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。

Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.

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为克服传统方法求解组合优化问题的困难，利用优化神经网络给出了算法。

Lastly, make use of neural networks, a new algorithm is presented for surmount the difficulty that use traditional method to solve optimization problem.

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