很难知道金融界是否也正在发生着同样的事，因为对冲基金公司老是在某种预测算法是否成功的问题上婆婆妈妈。
It is hard to know whether that is happening in finance, since hedge funds tend to keep mum about how successful (or not) particular forecasting algorithms are.
由于simplex算法的出现，线性编程已经在工业界、银行界、教育界、林业、石油行业以及运输业界中广泛地用来解决优化问题。
Since the development of the simplex algorithm, linear programming has been used to solve optimization problems in industries as diverse as banking, education, forestry, petroleum, and trucking.
接下来的当然是Wolfram|Alpha，网络算法天才让科技新闻界沸腾。
Then, of course, there is Wolfram|Alpha, the net’s algorithimic genius that the tech press is agog over.
今天谷歌破解了一种名为SHA-1的老式加密算法，尽管此事听起来不像是网络安全界最重大的里程碑。
Today, Google cracked an old encryption algorithm called SHA-1, although this does not sound like the most significant milestone in the network security.
模型预测控制作为一种新型计算机控制算法，在工业控制界取得许多成功应用，现已成为一种重要的先进控制策略。
As a computer control algorithm, Model Predictive Control (MFC) has many successful applications in industry control process and has become an important advanced process control strategy.
该算法是当前学术界上的一个热点。
This algorithm is a hot topic of the present academic circle.
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.
在误差界假设条件下，我们得到了改进算法的线性收敛速度。
Furthermore, by using an error bound condition, we establish linear convergence of the proposed algorithm.
免疫算法是一种基于自然界生物体免疫系统的优化算法，是目前机械多目标优化设计中的一个新的研究方向。
Immune algorithm is an optimization algorithm based on immune system of organism in nature, now it is a new development direction in multi-object of mechanical optimization design.
其基本思想是，基于人脸样本由有限的部件构成，而且遗传算法可以用于模拟自然界中的遗传过程。
The basic idea is that a face is composed of a limited components set, and the GA can simulate the procedure of heredity.
运动图像压缩编码技术是多媒体技术的重要组成部分，高效快速的算法研究一直是国际学术界和工业界关注的热点问题。
Motive image coding is an important part of multimedia techniques. Study on fast and high efficient algorithms has always been a hot question in international industry and academia.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
进化策略算法是一种模拟自然界生物进化过程的全局优化方法。
Evolution strategies as global optimization search methods, are computing models simulating the evolutionary mechanisms of nature.
遗传算法(GA)是模拟自然界生物进化机制的计算模型，是一种全局优化搜索方法。
As a global optimized search means, Genetic Algorithms (GA) are computational models simulating the evolutionary mechanism of nature.
资源搜索是P2P网络应用领域中最为广泛的问题，蚁群算法是受到自然界中真实的蚂蚁集体行为的启发而提出的一种算法。
Resource search is a popular application area of P2P networks and the ant colony algorithm (ACA) is a heuristic approach inspired by the foraging behavior of real ants.
比照传统遗传算法与生物界进化过程，分析了引起传统遗传算法收敛速度慢和寻优效率低的两个原因。
By contrasting the traditional genetic algorithms (TGA) with the biologic evolution, two kinds of reasons that the convergence speed and searching efficiency in TGA are both lower are concluded.
基因算法是对自然界生物进化的一种模仿，它包含三个基本的算子：再生、交叉和变异。
Containing three basic operators: reproduction, crossover and mutation, it imitates the evolution processes of natural organism.
受自然界物种群体间相互联系的启发，提出了群体间竞争与协作的遗传算法来解决旅行商问题。
Enlighted by the mutual contacts between the nature species groups, the paper proposes the inter-group competition and collaboration of genetic algorithms to solve the traveling salesman problem.
针对隐含着0 ~1要素、难以拟线性化的扒口分洪问题，提出了判断扒口分洪界点及其相应的分阶段算法的处理方法。
For solving blasting flood diversion constraints of containing 0 1 factor, this paper presents a simplified method separate phase algorithm of judging flood diversion point of demarcation.
遗传算法是一种借鉴生物界自然选择和自然进化机制的搜索方法，通过对个体进行复制、交叉、变异操作完成搜索过程。
Genetic algorithms (GAs) are search algorithms based on of natural evolution processing including selection, mutation and crossover operations on the genes of individuals or potential solutions.
本文对适应性波束形成器给出一种递推随机变界截尾算法，并在较简单的条件下，证明了算法几乎处处具有大范围收敛性。
A recursive algorithm with randomly varying truncation for adaptive Bram-Formers is proposed. Simple conditions are obtained to guarantee for this algorithm the global convergence almost everywhere.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
基于群集智能的优化算法是一种仿生自然界动物昆虫觅食、筑巢行为的模拟进化算法。
Optimization algorithm based on the swarm intelligence is a simulated evolutionary method that simulating the behaviors of social insects searching for food and building of nest.
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