heuristic algorithm

A heuristic algorithm is developed for model solution and an numerical example to test the results.

探讨了模型求解的启发算法并应用数量示例验证了模型结果.

A Heuristic Task Allocation Algorithm for Multi-Core Based Parallel Systems

一种面向多核处理器并行系统的启发式任务分配算法

A heuristic algorithm for mapping problem of the network emulation testbed was presented.

提出了一种求解网络仿真实验床映射问题的启发式算法.

A decomposition heuristic algorithm was developed to solve the single machine total tardiness problem.

为了解决单机总误工问题,提出了一种分解启发式算法.

As an emphasis, the paper discusses the optimized model and the heuristic algorithm for locomotive to work under the practical operating environment. The paper also analyzes the control strategies base on the target speed and describes the knowledge expression of train expert control.

系统重点探讨了定时约束条件下的列车节能操纵的模型及其启发式解法，详细分析了基于目标速度的列车控制策略以及专家控制原则。

Overall, the proposed heuristic algorithm can effectively make use of redundancy time in stations and segments to carry out adjustments to decrease possibility of train delay occurring, and cause delay losses of train themselves and their follow-up as small as possible.

结果表明，本文提出的启发式算法能有效的利用车站和车站间的冗余时间对列车运行进行调整，从而减少列车晚点发生的概率，使晚点列车本身及其后续列车造成的晚点损失尽可能小。

With the advantage of parallel calculation, heuristic algorithm has been used in the research.

启发式算法以其计算的并行性优势应用于码分多址系统的多用户检测中.

This paper presented a new heuristic algorithm for the 3-dimension pallet loading problem with non-identical items.

摘要针对多种物品单箱三维装箱的问题,设计了一种新的启发式算法.

Uncertain face detection is solved by heuristic algorithm, which is invulnerable to gesture, expression and accessories.

该人脸检测方法不受人脸模式的姿态 、 表情和人脸附属物影响.

Finally, a heuristic algorithm is proposed to move the wires out of the obstacles.

最后采用启发式的障碍避免算法使线网绕开障碍物.

Based on rough sets, a new heuristic algorithm is presented to solve the difficulty. Research on the Feature Subset Selection of Complex Decision Tables

基于粗集理论，本文提出了一种新的决策表最优特征子集选择的启发式算法.复杂决策表的特征提取方法研究

And we choose a heuristic algorithm to ensure the effectiveness and speed of the reduction.

为了保证约简的效果和速度,选择了一种基于属性重要性的启发式约简算法.

Finally a numerical example is given to illustrate the effectiveness of the heuristic algorithm and model.

最后,利用仿真研究验证了模型与算法的有效性.

Feature weighting is one of the important problems for feature weighting based KNN algorithm, and many heuristic methods have been employed to solve the problem traditionally.

特征权重学习是基于特征赋权的K近邻算法需要解决的重要问题之一，传统上提出了许多启发式的学习方法。