Some nonlinear algorithms are needed to achieve global optimal solutions.
因此需要引进一些非线性优化算法求解全局最优解。
However, sample quality should be blamed a lot for global optimal hiding.
然而，不能找到全局最优解的部分原因之一是由于样本质量造成的。
GA is an important composing part of integrative global optimal algorithm.
遗传算法是综合全局寻优算法的重要组成部分。
The global optimal flight path could be obtained by using genetic algorithms.
最后利用遗传算法获得威胁网络下的全局最优解。
Solving the global optimal solution for nonlinear constrained programming is difficult.
求解非线性约束规划的全局最优解是一个难点。
Global optimal design for signal lights at central intersection and four adjoining intersections.
主路口与相邻四个路口的信号灯整体优化配置设计。
So, how to achieve global optimal codebook become the one of key problems of designing VQ algorithm.
因此，如何获得全局最优的码书成为矢量量化算法设计的主要研究问题之一。
But, because of its characteristic, standard GA prematures easily and can't convergence to global optimal.
但由于其本质特性，传统遗传算法很容易产生早熟收敛的现象，而不能收敛到全局最优。
A new global optimal algorithm is presented to solve linear programming problems with nonlinear constraints.
本文提出了一种新的适用于处理非线性约束下线性规划问题的全局优化算法。
Therefore, optimizing weight retaining wall design to meet the global optimal solution becomes more important.
因此，对衡重式挡土墙的设计进行优化，得到满足各种条件的全局最优解，就显得比较重要。
The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively.
研究了全局最优融合系统以及局部传感器的最优判决准则。
Currently, there is no general algorithm to find the global optimal solution for the constrained non-linear programming problems.
目前对有约束非线性规划问题还没有通用的求全局最优解的算法。
The new algorithm can obtain global optimal solutions through a new simple and efficient select rule of the initial cluster centers.
算法提出了一种简洁快速的初始聚类中心的选取规则，从而使获得的聚类结果为全局最优。
Such a setting balances the breadth and depth of the algorithm, which made the algorithm to be converged to global optimal solutions.
不同类型的种群分别担负着广度与深度的搜索任务，以便算法能够收敛到高精度的全局最优解。
A new stepped evolutionary scheme is designed to search the global optimal structure and parameters of the nonlinear time series model.
设计了模型结构和参数分别进化，共同识别方案，实现对非线性时间序列分析模型结构和参数进行全局最优搜索。
The global optimal fusion algorithm is derived in this paper, and the system performance is optimized using the optimal fusion algorithm.
文中推导了融合系统检测性能的全局最优化融合算法，并采用该融合算法对系统性能进行了优化。
Evolutionary Programming (EP), a multi agent stochastic optimization technique, can lead to global optimal solutions for complex problems.
进化规划(EP)是一种随机优化技术，它可以发现全局最优解。
The computing results show that it not only can find rapidly the approximate global optimal solution, but also has high computing accuracy.
计算结果表明，该算法能快速地求出问题的全局最优解，且具有较好的计算精度。
And, the searching speed is improved by holding the optimum in iteration, which can guarantee the global optimal solution being found as well.
遗传过程中，通过保持迭代过程中的最优解，加快了搜索速度，并保证了收敛于全局最优解。
An advanced simulated annealing method is presented to estimate the global optimal parameters of fitting carves of target's dynamic distribution.
采用了改进的模拟退火技术对这种分布特性进行全局最优拟合曲线参数估计。
Optimal design of ship structures is a complicated nonlinear mixed-discrete problem and a difficult challenge in searching for its global optimal values.
船体结构之最佳化设计是一个复杂非线性的混和离散问题，并且要搜寻到全域的最佳值并不容易。
By giving suitable fitness function, global optimal solution was found and result of registration was given. A method was provided for clinical diagnosis.
通过给出适当的适应度函数，寻找出全局的最优解，并得到配准结果，这为医学临床诊断多模态信息融合提供了一种方法。
Simulation results show that it generates global optimal path in most situations, and is very time and space efficient thus suitable for real time applications.
仿真表明，本文算法通常都能得到全局最优路径，并且规划速度快、内存需求小，非常适合于实时应用。
In the sense of linear unbiased minimum variance estimation, a global optimal recursive state estimation algorithm for this discretized linear system is proposed.
在线性无偏最小方差估计准则下，推导出了该离散化后所得系统的全局最优递推状态估计算法。
The global optimal design for the control system of frame shear structure with tendon control devices installed on the structure is conducted for the control systems.
应用本文的方法对剪切模型框架结构上安装的锚索控制器进行了控制器的总体优化设计。
Experiment results show that the global optimal solution can be quickly obtained by the proposed method and the precision requirement for target location is satisfied.
实验结果表明，基于遗传算法的求解方案能快速地求出传感器节点位置优化问题的全局最优解，并满足目标定位的精度要求。
Experiment results show that the global optimal solution can be quickly obtained by the proposed method and the precision requirement for target location is satisfied.
实验结果表明，基于遗传算法的求解方案能快速地求出传感器节点位置优化问题的全局最优解，并满足目标定位的精度要求。
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