并行算法

Ant Colony Algorithm is a new developed bionic optimization algorithm, which simulate the ants'finding food process. Because of its simple mechanism, plus-feedback parallelization, strong lustiness and excellent distributed compu- tational mechanism, it has shown its excellent capability and huge developing potential in solving many complicated optimization problems, and it has been successfully applied to production problem such as scheduling problems and routing problems. But it also has some disadvantages, it need longer searching time than others and tend to precocity and stagnation.

蚁群算法是一种最新发展的模拟昆虫王国中蚂蚁觅食行为的仿生优化算法，该算法采用了正反馈并行自催化机制，具有较强的鲁棒性、优良的分布式计算机制、易于与其它方法结合等优点，在解决许多复杂优化问题方面已经展现出其优异的性能和巨大的发展潜力，并已成功地应用于诸如生产调度、布线等生产问题。

The multi neural networks ensemble algorithm was primary discussed and studied, A neural network ensemble algorithm used in automatic target recognition is proposed,.

5对多神经网络集成算法进行了初步的探讨研究，给出了一种用于自动目标识别的神经网络集成算法，并结合算法设计了一个基于多CPU并行结构的多目标识别神经网络系统。

Because of its simplicity and applicability, the TSP has for decades served as an initial proving ground for new ideas.

本文以TSP问题作为实验对象，对蚁群算法的一种――相遇算法进行了改进，提出了并行相遇算法。

Quantum parallelism of genetic algorithms, and not caught early, which is the genetic algorithm in a relatively new area, The compressed bundle contains a number of outstanding Quantum Genetic Algorithm some excellent articles.

量子遗传算法并行性好，不易陷入早熟，是目前在遗传算法方面一个比较新研究，该压缩包里包含了大量了一些优秀的量子遗传算法的一些优秀文章。

Firstly, the random walk problem is introduced and the solution is schemed out theoretically. And then, the equivalent RC circuit for thermal analysis is discussed as the IC package is divided into many small blocks at the desired level of granularity. The techniques of analyzing the equivalent RC network by random walk algorithm are then discussed. At the same time, an equivalent model for thermal analysis is set up according to an IC chip. The proposed method is then applied to this model for both steady and transient analysis. Two speedup strategies, pseudo parallel walking and walk results reuse, are proposed sequentially to improve the algorithm performance.

首先简述随机行走问题的基本概念，给出问题的理论解法；然后讨论基于三维网格划分的IC芯片热等效阻容网络模型，着重分析随机行走算法在热等效模型中的应用，并建立一个实际芯片的热等效模型，采用随机行走算法模拟计算模型的稳态温度分布和瞬态温度变化；最后针对随机行走算法应用中的不足，提出了伪并行行走和结果重用2种加速技术。

In this paper, we study static off-line and dynamic on-line algorithms of data repartition to improve the disk load balance. Then we described a lab to analysis the CPU cost of these algorithms.

本文提出了SN结构下并行数据库的静态和动态重划分算法，以及针对轮转重划分的静态算法，理论分析和实践表明算法是正确可行性的。

Using the inherent general-special relation between concepts in sublattice,the horizontal union algorithm of multiple concept lattices to construct the concept lattice is also presented.

试验表明，该算法和直接用形式背景来构造概念格的算法相比，其时间复杂度有显著改善。显然，该算法适用于对概念格进行分布并行构造

Based on reduced method,a parallel partitioning algorithm for the system of fuzzy linear equations is proposed in this paper,which is applied in MIMD asynchronous communication model.

在简化方法的基础上，提出了在MIMD模型上采用异步通信模式求解模糊线性方程组的分布式并行分割算法，算法有效地平衡了负载，并分析了算法的时间复杂性和通信复杂性。

Theoretically, its calculation complexity is studied, while it is tested empirically by learning multi-samples generated randomly. The comparative analysis and applications show it has some merits of rapid searching and good clustering effect. B3. An immune network optimization algorithm with information feedback, which can solve special complex function optimization problems with high dimensions which objective functions are formed by summing multi-subobjective ones, is constructed based on the clone selection principle and the immune network regulation of the idiotype immune network.

为了对免疫系统中抗体如何学习抗原特征的整体行为有一定的认识，从单个抗体识别抗原及多个抗体并行识别抗原的特征出发，利用免疫应答的相关原理及免疫细胞的免疫功能设计了适合于批量样本聚类的抗原特征学习算法，理论上分析了其计算复杂度，获得了此算法中的关键参数与其搜索性能的关系；应用上，该算法通过对实际的多样本学习，获得了搜索速度快及聚类效果好的优点，比较分析表明这种方法是可行的和有效的。

The ant colony algorithm is a novel category of bionic meta-heuristic system, and parallel computation and positive feedback mechanism are adopted in this algorithm. This algorithm is easy to combine with other methods in optimization, and has wide application in various fi elds.

蚁群算法是优化领域新出现的一种启发式仿生类并行智能进化系统，该算法采用分布式计算和正反馈机制，易于和其他算法结合，目前已得到了广泛的应用。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新