在ServicePack1中，微软引入了一个新的基于代码尺寸的启发式算法，来判断调用是否处于一个循环中。
For service pack 1, Microsoft has introduced a new heuristic based on code size and whether or not the call is in a loop.
由于该问题是NP -完备的，我们给出了一个启发式算法。
Because of NP property, we will propose an heuristic algorithm to solve the problem.
本文讨论了扩张矩阵的路径，提出了一种抽取模糊规则的启发式算法。
This paper discussed the path of extension matrix and introduced a new heuristic algorithm.
文章针对基于JIT思想建立的一种批量计划和作业排序集成问题，建立整体模型，设计了一种启发式算法采用集成方法求求解。
A monolithic model of the lot-sizing and scheduling problem based on the JIT strategy has been proposed in this paper, and a heuristic algorithm using integrated method has been designed to solve it.
对于某些难于用理论方法解决的问题，启发式算法可以起到独到的作用。
The heuristic algorithm will play an original role in solving certain problems which can't be done by theoretical methods.
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。
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.
研究了单抓钩动态排序的问题，提出一个启发式算法，该算法是通过解一系列静态问题来解动态问题的。
This paper studies the dynamic hoist scheduling problem and proposes a heuristic method, which method solves the dynamic problem through the solution of a series of static problems.
提出了一种新颖的可在线计算的时间序列启发式算法。
The novel online heuristic algorithm of representation based on polygonal boundary reduction is presented in detail.
但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。
But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.
这种算法结合了启发式算法和随机化算法以及局部寻优的思想。
The proposed algorithm incorporates the thoughts of heuristic algorithm, randomized algorithm and local optimization.
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。
Up to now, some heuristic algorithms have been proposed for learning from examples based on extension matrix theory.
启发式算法利用与所求问题有关的某些特殊信息来控制搜索状态空间的过程。
By the use of some special information related to problems to be solved, the heuristic algorithm controls the process of searching state space.
应用模拟退火方法并结合启发式算法，给出了求解该模型的一种新方法。
A new approach to solve the problem by combining the heuristic algorithm with simulated annealing approach is presented.
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 exists a waste of bandwidth resources due to the heuristic algorithms for the preemption in multi-protocol label-switching (MPLS) networks.
本文给出了适用于大数目输入变量的逻辑综合启发式算法。
We are present a heuristic algorithm of logic synthesis fitted to large number of input variable.
给出了生成此会话识别图的一种启发式算法。
A heuristic algorithm of creating graph of user sessions identification was presented.
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。
A series of heuristic algorithms was designed to solve problems in optimization of short and unfixed order-grouping in steel tube production.
为了解决单机总误工问题，提出了一种分解启发式算法。
A decomposition heuristic algorithm was developed to solve the single machine total tardiness problem.
建立了线性规划优化模型，提出了一种启发式算法。
Linear Programming optimization model is setup, and a heuristic algorithm is given.
以前，许多研究都集中在采用启发式算法来求解该问题。
Thus, most previous researchers have focused on developing heuristic algorithms to solve the problem.
提出了一种解决有时间窗口装卸货问题(PDPTW)的快速启发式算法。
A quick heuristic algorithm is proposed to solve the pickup and delivery problem with time Windows (PDPTW).
对由故障引起的链路流量的变化，提出了一种启发式算法，该算法对网络进行了局部的改进。
To the change of the flow due to failure, it presents a heuristic algorithm to make local improvement for network.
他们也给出了一个启发式算法，它的最差执行比为5／3，并且这个界是紧的。
They also provided a heuristic with the worst-case performance ratio of 5/3, and this bound is tight.
文中提出了一种新的启发式算法，它是基于属性对于分类的重要程度的。
In this article, we introduce a new heuristic based on the importance of attribute contributing to the classification.
本文建立了一种轧制批量计划问题的数学模型，提出一种改进的两阶段启发式算法，并对其求解。
A mathematic model of the rolling batch heuristics is established in this paper, and an improved two phase heuristics is proposed for the problem.
与其他多项目调度启发式算法的比较和统计检验，说明随机抽样算法显著优于这些常用的启发式算法。
Comparison with other tested heuristics verifies that the proposed random sampling method is significantly superior to other heuristics for scheduling resource-constrained multiple projects.
与其他多项目调度启发式算法的比较和统计检验，说明随机抽样算法显著优于这些常用的启发式算法。
Comparison with other tested heuristics verifies that the proposed random sampling method is significantly superior to other heuristics for scheduling resource-constrained multiple projects.
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