提供七种最优化算法，三种是全局优化。
Provides seven optimization algorithms, three of which are global.
迭代最优化算法是模式识别中一种重要方法。
The iterative optimization algorithm is an important method in pattern recognition.
本文提出了一种新的最优化算法——坐标扰动法。
Coordinate perturbation method, a novel optimization method, is recommended here.
在此基础上介绍了最小条件评定的三种最优化算法。
On the basis of them, three optimization algorithms for minimum condition evaluation are introduced.
提出了一套针对晶体学问题特点的高效率、高精度的最优化算法。
An optimization algorithm with high efficency and high accuracy has been proposed for this purpose.
以最新的消耗定额为参数，结合最优化算法，得出了最优备件储备数量。
Combining the consume ration with optimization arithmetic, an optimized storage number of spare part was worked out.
本文论述了应用最优化算法机辅设计电视接收机视放末级放大器的方法。
In this paper, the computer aided optimizing design of the video amplifier in TV set is described.
通过粒子群最优化算法解决多供应商参与协同产品开发时的任务指派问题。
The Particle Swarm Optimization (PSO) algorithm was used to deal with task assignment problem in multi-suppliers' participation in collaborative product development.
介绍了需求确定的情况下两级供应链库存控制的一种交互协作的最优化算法。
This paper introduces a nonlinear method used for magnetic localization, this method is based on magnetic dipoles model and nonlinear optimization algorithm.
介绍了需求确定的情况下两级供应链库存控制的一种交互协作的最优化算法。
This paper discusses inventory control problems in a two-echelon supply chain for the deterministic demand by taking account into a multi-criteria problem.
简要概述了局部最优化、全局最优化的优缺点和混合最优化算法的基本内容；
The advantages and disadvantages of local optimization, global optimization and the base content of hybrid optimization algorithms are summarized simply;
就随机并行梯度下降(SPGD)最优化算法在光束净化系统中的应用展开研究。
This paper researches the application of the stochastic parallel gradient descent (SPGD) optimization algorithm on the beam cleanup system.
应用有限元数值模拟、最优化算法和实验研究相结合，对材料参数进行优化识别。
The materials parameters were obtained through combination of experiments and numerical analysis, including optimization techniques.
根据深圳地区地应力的实测资料，通过最优化算法，模拟整个深圳区域的地应力场。
Based on the actually measured nature stress data of Shenzhen region, nature stress field of entire Shenzhen region was simulated by using optimization algorithms method.
在对图像的处理过程中，我们采用了最优化算法、改进算法1及改进算法2三种算法。
In the process of image treating, We use three algorithms, i. e. the optimization algorithm, improving algorithm1 and improving algorithm2.
使用迭代的启发式最优化算法来解决多例学习中复杂的整型规划问题，以使分类风险最小化。
The learning approach leads to a hard mixed integer program that can be solved iteratively in a heuristic optimization.
本文介绍了一种用于磁定位的非线性方法，该方法基于磁偶极子的磁场分布模型和非线性最优化算法。
This paper introduces a nonlinear method used for magnetic localization, this method is based on magnetic dipoles model and nonlinear optimization algorithm.
形状重建在标记点的基础上，利用最优化算法得到人脸形状系数，根据此系数可得到对应的三维形状。
Based on the landmarks, we use fitting algorithms to optimize shape coefficients, thus the corresponding three-dimensional face shape can be reconstructed.
最后，基于帮助对象的选取原则和匈牙利算法，对该问题最优化算法进行了具体描述，计算实例表明该算法是有效的。
Finally, based on the rules and Hungary algorithm, the optimization algorithm is described in detail, which is proven effective by the given example.
并从支持向量机的几何原理出发提出了一种基于序列最小最优化算法的改进算法，验证结果证明了该改进算法的正确性。
From the geometrical theory of SVM, this thesis advanced a new method that bases on SMO. The experiment proved this method to be correct.
与其他混合最优化算法不同的是，该算法没有破坏粒子群和遗传算法的独立性，而是仅通过全局最优样本把两个算法结合在一起。
It selects the optimaler number as a global optimum at every circulation, which makes its result be better than both PSO and GA, then improves the overall performance of the algorithm.
接下来，IBM帮助他们开发了一个算法来计算最优化的卡车装载量。
Next, IBM developed an algorithm to calculate optimal loading for the trucks.
本文针对数据聚类分析和最优化问题的相似点，用模拟退火算法进行聚类分析。
In view of the similarities between data clustering analysis and optimization questions, this paper deals with data clustering analysis by using simulation anneal algorithms.
现代优化算法主要解决全局最优问题，其本质是概率性的。
The main objective of modern optimization algorithm is to deal with the problem of global optimum, which is essentially probabilistic.
现代优化算法主要解决全局最优问题，其本质是概率性的。
The main objective of modern optimization algorithm is to deal with the problem of global optimum, which is essentially probabilistic.
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