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。
These algorithms are briefly introduced. Eventually, looking forward to the prospects of constructive heuristic algorithms .
将求解算法分为三类并且分别进行简要介绍，最后展望了构 造型启发式算法的 研究前景。
The two approaches, based on Bootstrap and heuristic algorithms, were proposed for developing source number detection methods.
给出了两种利用这种特征向量空时投影的信源数检测方法。
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。
There are different kinds of methods, including mathematical programming, heuristic algorithms, and multi-objective based on weighted attribute values.
有各种不同的方法，包括数学规划，启发式算法，并基于加权属性值多目标。
Thirdly, based on simulating the elastic objects movement, two heuristic algorithms are presented by using the idea of the simulated annealing algorithm.
第三，在模拟物理世界中弹性物体运动的基础上，借鉴模拟退火法的思想，得出了二个启发式方法。
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 Optimizat.
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。
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。
Basing on the combination of heuristic algorithm for assigning tasks and scheduling algorithms for uniprocessor, a novel scheduling algorithm for DCS is proposed in this paper.
在结合启发式任务分配算法和单处理器任务调度算法的基础上，提出了一种分布式控制系统的调度算法。
The heuristic implicit enumeration presented in this thesis can effectively solve this kind of problems. It is different from other algorithms, such as simplex, cutting plane method, etc.
与其它算法（例单纯形法、割平面法）不同，本文提出的启发式隐枚举算法能很好的解决此类问题。
Develops cutting plane methods, integral basis methods, enumerative and heuristic methods and approximation algorithms.
阐述割平面方法、整基方法、枚举和启发式方法和逼近算法。
Focuses on the algorithms of the minimum-delay spanning tree for the application-layer multicast, and proposes an improved BCT-H (balance compact tree-heuristic) algorithms based on strategy function.
文中着重研究构建最小延迟应用层组播树的算法，提出一种基于策略函数构造应用层最小直径组播树的启发式算法BCT - H。
The experimental results show that the scheduling algorithm based on multiobjective combinational optimization method is better than those heuristic scheduling algorithms.
仿真实验结果表明，基于多目标优化方法的调度算法在多数性能指标上均比启发式调度算法更具优势。
Combining a heuristic random searching strategy with local optimal algorithms is effective solution for complex optimization problem.
启发式随机搜索策略和局部优化算法相结合的求解方案是解决复杂函数优化的有效途径。
Both the two algorithms sequentially decide users served on a sub-carrier, so they are heuristic schemes and have low complexity.
这两个算法的共同优点是序贯地决定可服务用户，复杂度较低。
Genetic algorithms are good candidates for attacking the challenge since GAs are very useful for extracting patterns in high-dimensionality problems where heuristic knowledge is sparse or incomplete.
由于在缺乏启发性的知识的情况下，遗传算法对于高维的数据的特征提取非常有效，所以遗传算法是基因数据研究中非常重要的算法。
Most flow shop sequencing problems with more than two machines belong to NPC problem. People often use heuristic algoristic algorithms to deal with them in practice.
大多数一般的多于两台机床的流水车间作业排序问题均属于NPC问题，在实际生产中一般采用启发式算法。
The Heuristic Forward-Chaining Algorithm (HFCA) for the searching of delegation chain is proposed, which effectively ease the blindness in pure backward-chaining algorithms.
提出了以正向链接为主导的启发式搜索算法（HFCA），有效减低了传统纯反向链搜索的无序性。
The Heuristic Forward-Chaining Algorithm (HFCA) for the searching of delegation chain is proposed, which effectively ease the blindness in pure backward-chaining algorithms.
提出了以正向链接为主导的启发式搜索算法（HFCA），有效减低了传统纯反向链搜索的无序性。
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