It presents heuristic algorithms that infer AS relationships from BGP routing tables.
同时给出了从BGP路由表中推理出as相互关系的启发式算法。
Until now there are many heuristic algorithms to solve function optimization problems.
目前已经有很多启发式算法用于解决函数优化问题。
Thus, most previous researchers have focused on developing heuristic algorithms to solve the problem.
以前，许多研究都集中在采用启发式算法来求解该问题。
Currently, scholars at home and abroad have proposed many heuristic algorithms and obtained good effect.
国内外学者提出了很多启发式算法并取得了良好的效果。
Since we prove the problems are NP-complete and APX-complete, we propose three heuristic algorithms to solve them.
我们证明了这个问题不仅是NP完全的同时也是APX完全的，因此我们提出了三种启发式算法解决此问题。
Up to now, some heuristic algorithms have been proposed for learning from examples based on extension matrix theory.
到目前为止，一些启发式算法被提出用于基于扩张矩阵理论的示例学习研究。
In the test of random circuit and benchmark circuit, two algorithms both get better results compared with traditional heuristic algorithms.
在对随机测试例子和标准标杆测试例子的测试中发现，较之传统的启发式算法，二者都能产生较好的测试结果。
A series of heuristic algorithms was designed to solve problems in optimization of short and unfixed order-grouping in steel tube production.
提出了一套解决钢管生产中短尺合同和非定尺合同组批优化问题的启发式算法。
There exists a waste of bandwidth resources due to the heuristic algorithms for the preemption in multi-protocol label-switching (MPLS) networks.
目前多协议标签交换(MPLS)网络中大多采用启发式算法进行抢占，造成了带宽资源的浪费。
As the task allocation problem is a recognized NP-hard problem, constructing effective approximation algorithms ro heuristic algorithms is a research focus.
由于任务分配问题是NP困难问题，构造有效的近似算法或启发式算法是目前研究的热点。
Secondly, the theory base and mathematic model was introduced along with the corresponding heuristic algorithms of the Multi-Restrict Airline Schedule Optimization Model.
其次介绍了“多元受限的航班时刻优化模型”的理论基础、数学模型、相应的启发式算法。
We deal with the inconsistency through classification accuracy, using heuristic algorithms we can get a set of minimal productive rules satisfying the given classification accuracy.
通过分类正确度有效处理了决策表的不一致性，采用启发式算法，挖掘出满足给定精确度的最简产生式规则知识。
Due to the NP hard problem, it is not realistic to find the optimal decision tree. So researching kinds of heuristic algorithms to induce a decision tree with high accuracy becomes a focus.
由于NP困难，寻找最优的决策树是不现实的，从而探索各种启发式算法去产生一个高精度的决策树变成了这类研究的焦点。
For NP-complete combination optimization problems, there is no efficient algorithm to the solution of the problems. Consequently, heuristic algorithms may be used to solve such type of problems.
对于NP -完全的组合优化问题，至今尚无很好的解析算法，一般采用启发式算法来解决。
For NP-complete combination optimization problems, there is no efficient algorithm to the solution of the problems. Consequently, heuristic algorithms may be used to solve such type of problems.
对于NP -完全的组合优化问题，至今尚无很好的解析算法，一般采用启发式算法来解决。
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