This paper presents a fast exhaustive search algorithm in order to search the protein conformation space based on the lattice model by constructing a directional binary tree.
本文在构造具有方向导向性的完全二叉树的基础上，提出了一种适合研究蛋白质构象的格子模型快速穷举搜索算法。
The complexity of GCDG is compared with both exhaustive search algorithm and traditional greedy search algorithm, and then its efficiency is proved in the small alarm overlapped domain.
通过分析对比该算法与完全搜索算法和传统贪心算法的复杂性，证明了其在故障告警域重叠度较小情况下的有效性。
But the RWA in mesh networks is a NP-hard problem which can not be solved optimally with exhaustive search in the endurable time. Hence, we designed a heuristic algorithm to solve it.
而格状网络中的RWA是个NP -难问题，它不可能在有限的时间内通过穷举搜索来获得其优化解，为此我们设计了一个启发性算法以解决这个问题。
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