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In this thesis, the design and realization of a special cluster are presented for calculating branch and bound algorithm that can decrease the calculating time and enhance the algorithmic efficiency.
本文设计实现的一种专用于计算分支定界算法的机群计算平台，能减少分支定界算法的计算时间复杂度，提高分支定界算法的效率。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
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。
When to switch from Dynamic Programming (2D table) to Branch & Bound algorithm?
当切换动态规划（二维表）的分支定界算法？
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