算法

One is the stable constraints are too strong, and the other is the polynomial model representation of nonlinear systems is too conservative.

该算法通过调整参数大小可有效放宽约束条件，从而可扩大算法的适用范围；在第三章中，提出了基于可行解的线性矩阵不等式非线性预测控制算法。

Based on the study on how to set the initial population and operational parameter s of operators, a conclusion can be drawn that distribution of the initial population and the selection of operational parameter s of operators directly concerns global convergence and searching efficiency of genetic algorithm.

通过对遗传算法初始种群与操作参数设定问题的研究，认为初始种群的分布状态与算子操作参数的选取直接关系遗传算法的全局收敛性与搜索效率，对初始种群与各操作参数进行合理设定是应用遗传算法进行寻优计算的重要问题。

The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model the constrained problem、the initial population and the controls parameter of genetic algorithm .

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithm Aimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

Based on a great many literature, this paper analyzes and summarizes the genetic algorithm for the design of structural optimization. The basic conceptions and primary characteristics are introduced in this paper. This paper discuss some primary factor when genetic algorithm applied on optimal design, for example the mathematical model、the constrained problem、the initial population and the controls parameter of genetic algorithmAimed at the characteristic of structural optimization and finite-element analysis, this paper accomplishes the optimal program based on the simple genetic algorithm.

在广泛阅读文献和调研的基础上，本文对遗传算法及其在结构优化设计应用中的相关内容进行了分析和综合，对结构优化设计的基本概念、主要特点进行了介绍，对遗传算法应用于结构优化设计时的数学建模、约束条件处理、初始种群的产生及其遗传算法控制参数的选择几个关键因素作了概要的分析与研究。

In addition, this algorithm is not only insensitive to initial clustering number just like traditional methods, but also free of the optimization process for kernel parameters due to the use of conditionally positive definite kernel.

此外，该算法不再像传统基于聚类的辨识算法那样对初始的聚类个数敏感，而且由于条件正定核的使用，使得辨识算法免去了核参数优化的过程。

Based on the rules and the facts that covariance matrix is positive definite symmetric matrix, new split-and-merge methods are proposed and the improvements for the SMEM algorithm are designed.

最后在Ueda等人的利用分离合并过程来改善EM算法的思想启发下，具体从用于高斯混合体模型的EM算法出发，得到了一类新的分离合并EM算法，同Ueda等的比较，后者的分离合并方法是一种启发性的过程，前者则是在一定理论指导下的推出的。

The experimental result shows that the running efficiency of the updating algorithm is higher than the existing algorithms. Therefore,the algorithm is practica...

实验表明，该算法的执行效率比现有的典型更新算法高，是一种有实际应用价值的、高铲的关联规则更新算法。

This article in by has in the foundation which the method studies, is easy in view of the standard genetic algorithms in the solution Vehicle Routing Problems to appear precociously, is easy to fall into the partial optimal solution shortcoming, makes the improvement to the traditional genetic algorithms, proposed the multi- populations genetic algorithms.

本文在已有方法研究的基础上，针对标准遗传算法在解决车辆路径问题上容易出现早熟，容易陷入局部最优解的缺点，对传统的遗传算法进行改进，提出了多种群遗传算法（Multiple_population Genetic Algorithms）。

It can significantly prevent precocity, then make a balance between accelerating convergence and averting precocity as well as stagnation.

该算法能明显的防止蚁群算法可能出现早熟的问题，从而解决了传统蚁群算法加速收敛与早熟、停滞现象的矛盾。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。