Simulation also allows the evolution of robotics control systems, which depend on random permutations of the control system over many generations (as demonstrated by genetic algorithms).
仿真还可以允许对机器人控制系统进行革新，这依赖于很多代控制系统的随机排列（遗传算法可以证实这一点）。
Deterministic algorithms can be recreated, so the Numbers aren't truly random. Eventually a pattern will emerge.
确定性算法可以被重新设计，所以这些数字不是真正随机的，最终会形成一个模式。
With the use of random access technology and some new algorithms, the clustering analysis of large sample can be processed on microcomputer. Thus practicality of this program system is improved.
由于采用随机存取技术和一些新算法，使本系统可在微机土对大样本问题进行聚类分析，从而提高了系统的实用性。
For many sample-based texture synthesis algorithms using markov random field model, the size of neighborhood determines the quality and speed of texture synthesis.
在许多采用马尔可夫随机场模型的基于样图的纹理合成算法中，邻域的大小决定着这些合成算法的纹理合成质量和合成速度。
In the design of RFID indoor location system, due to the existence of serious random interference in indoor radio environment, it is very important to have location algorithms with high accuracy.
由于室内无线传播环境的噪声随机性干扰比较大，在设计射频识别室内定位应用系统时，高精度定位算法的研究显得十分重要。
Genetic algorithms is an effective method for random search of optimum.
遗传算法是一种新型的随机搜索寻优方法。
Two algorithms, graph cut and random walk based on graph theory, were applied to motion segmentation.
将两种基于图论的算法图切割与随机游走应用于运动对象的分割。
Active queue management (AQM) is the efficient way of dealing with congestion. One of the classical algorithms is random early detection (RED).
主动队列管理(aqm)是对抗拥塞的重要手段，其经典算法之一是随机早期丢弃，简称RED。
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。
Since the tape libraries have very poor random access performance, it is critical to study random I/O scheduling strategies and algorithms in order to improve the performance of tape library.
由于磁带库随机存取的性能很差，需要研究有效的随机I/O调度策略和算法以改善其在线存取的效率。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
Moreover, the Genetic Algorithms does not assume that the most dangerous sliding surface must pass foot of slope, which is determined by the searching course at random.
此外，遗传算法没有边坡危险滑动面一定要通过坡脚的假定，而是随机的搜索确定的。
Active queue management is a focus of current research. Random Early Detection (RED) is one kind of classical queue management algorithms.
主动队列管理是目前的研究热点，随机早期检测(RED)算法是一种经典的队列管理算法。
It includes sorting algorithms, developed by the author, for use with random alphanumerical and numerical data key fields.
它包括了排序算法，由作者开发的，可用于随机的文字数字和数字数据关键字。
Analyzing the architecture of object-relational access layer and OID generating strategies, 128 bit random number algorithms is not adapted to the increment of the data processing and data storage.
分析对象-关系访问层体系结构和OID生成策略，128位随机数算法生成的OID已不适应数据信息量不断增加和海量数据存储的需求。
Because the indoor environment is very complex, and it's greatly influenced by multipath propagation and random noise, the research on the algorithms of indoor location system is of great challenge.
由于室内环境复杂，多径传播、随机噪声干扰等影响较大，因此室内定位系统的算法研究具有挑战性。
Aiming at the large mount of calculation of the traditional algorithms for polarimetric power optimization of random target in arbitrary channel, a fast algorithm is proposed in this article.
针对现有分布式目标通道最优极化算法存在运算量偏大等问题，以算法的实用性为目的，在理论分析的基础上提出一种求解分布式目标通道最优极化的快速算法。
By borrowing the ideas of population from genetic algorithms, we introduce an adaptive random search in quasi_Monte Carlo method (AQMC) for global optimization.
借用遗传算法中种群的概念，介绍了一种解全局优化的拟蒙特卡罗自适应搜索算法。
Also, the author introduced common methods and mathematical algorithms that can generate random Numbers: LCG, FSR, CRNG and etc.
介绍了生成随机数的一般方法和目前常用的数学算法：lcg、FSR、CRNG、逆同余法等。
Some algorithms about fuzzy random simulations are designed.
设计了模糊随机模拟算法。
Monte Carlo methods are probability methods for solving various kinds of computational problems by using random Numbers, as opposed to deterministic algorithms.
蒙特卡罗方法，与确定性算法不同，是一种用随机数来解决各种计算问题的概率算法。
At present, we have lots of parameter algorithms, but more work need to be done to get over the random of parameters selection and unpredictability of fractals shape.
虽然目前已经有多种参数算法，但如何克服参数选取的随意性及分形造型的不可预知性问题还有待于深入的研究。
This paper presents new developments of parameter identification for MIMO discrete stochastic systems with random parameters. These algorithms are based on the stochastic approximation method.
本文讨论MIMO离散系统的随机时变参数基于随机逼近法的辨识问题。
Search techniques such as Genetic Algorithms, Simulated Annealing, Tabu Search and Random Walk Algorithms have been used extensively for global optimization.
搜索技术，诸如遗传算法，模拟退火算法，禁忌搜索和随机移动算法，已经广泛应用于全局优化。
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。
The apparatus further includes a processor capable of executing instructions to carry out control algorithms for adjusting the random Numbers.
该设备还包括能够执行指令以实施用于调整随机数的控制算法的处理器。
Results show that that the search ability of TIGA algorithm, whose random degree is neither the highest nor the lowest, is the best among the tested sister algorithms.
由实验结果可知，随机性适中的TIGA算法对各测试函数的寻优能力最好。
Results show that that the search ability of TIGA algorithm, whose random degree is neither the highest nor the lowest, is the best among the tested sister algorithms.
由实验结果可知，随机性适中的TIGA算法对各测试函数的寻优能力最好。
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