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To solve continuous function optimization problems, a new stochastic search algorithm based on ant swarm intelligence is introduced .

引言蚁群算法是最近几年才提出的一种新型的模拟进化算法,2000年把蚁群算法扩展到了求解连续函数的优化问题[1]。

Here two statistical methods to detecting the continuous embedding in image LSBs are proposed, which are μ test and X2 test.

提出了在嵌入信息服从均匀分布的情况下,两个基于图像时空域最低有效位连续嵌入的统计检测算法:μ检验算法和x2检验算法

An improved contour line extraction algorithm based on grid sequence is presented in this paper.

在网格序列法的基础上提出了一种改进的轮廓线提取算法———基于区域增长的轮廓线提取算法,该算法采用区域增长的方法来加速搜索边界单元,从而避免了搜索所有的网格单元。

Two strategies, optimizing hill- climbing and large- scale gene mutation, are used to overcome the disadvantages of the primary hybrid algorithm, which easily converg to local optima.

用遗传与模拟退火相结合的混合算法对信道分配问题进行研究,并通过加入"寻优式爬山"与大规模基因突变两种优化方法对混合算法进行改进,克服了一般遗传算法收敛速度慢以及易于陷入局部最优解的缺点。

By the case of skewed cavity flow with 30-degree angle, the convergence performance of SIMPLE/SIMPLEC algorithm was analyzed on unstructured grids and the influence of accepting or rejecting non-orthogonal terms was compared.

利用30°角的斜方腔流动计算成果,分析了非结构同位网格的SIMPLE/SIMPLEC算法的收敛性能;比较了因网格的非正交而引入的非正交项的取舍对该算法收敛性能的影响;并采用显式校正步法对SIMPLEC算法进行了显式校正。

Thisthesis presents a theoretical model that can be used to describe the convergence behavior ofthe algorithm.

论文阐述了该算法算法模型并且从理论上分析了该算法的收敛性质并初步应用于解决电力系统中的问题。

PSO is a population-based optimization algorithm, which mimics the social behavior of animals in a flock. It makes use of individual and group memory to update each particle position allowing global and local search optimization. The objective function considered was the total weight of the structure subjected to stresses, displacements and forces constraints. The effects of the parameters were investigated as well and such combination of tuning parameters promote a better global search behavior avoiding premature convergence while rapidly converging to the optimal solution. Results showed the effectiveness of the proposed method by comparing with ANSYS Design Optimization Tool (zero-order method). The PSO with the tuning parameters makes it an ideal method for offshore wind turbines foundations optimization tasks.(2) A reliability analysis method for pile foundation bearing axial loads based PSOThe performance function of pile foundation's axially bearing capacity sometimes is nonlinear and complex, on the basis of geometric meaning of structural reliability index, an optimum model with PSO for structural reliability analysis under arbitrary random variables was established, The PSO algorithm is very efficient to solve global optimization problemsIts use in structural reliability field presents not only the advantage of its facility of implementation, but also the possibility to obtain the design point and the failure probability with a good accuracy. In addition, PSO is a zero order algorithm, for no derivative is necessary for its implementation.

本文的研究针对桩式海上风机基础结构的特点,在国内外有关研究成果的基础上对海上风机基础结构优化设计理论和可靠度方法一些相关问题进行了较为深入的研究,具体做了以下几个方面的工作:(1)基于粒子群优化的桩式海上风机基础确定性优化设计方法桩式海上风机基础的优化设计是一个复杂的、非线性约束的优化问题,针对传统的基于梯度信息的优化方法在处理非线性问题中易陷入局部最优解的问题,本文将一种耦合惩罚函数的PSO算法引入到海上风机基础结构概念设计中,PSO算法是从群体动物聚集觅食这一活动中受到启发而发展的,该算法利用个体和群体的信息共享不断改进自身的位置从而进行局部和全局最优搜索,本文中以桩和三脚架连接段直径及壁厚为设计变量,以基础总重量作为优化的目标函数,在给定的约束条件下建立了三脚架基础优化数学模型,另外本文还研究了PSO参数变化对结果的影响,协调的参数组合可以避免陷入早熟收敛而能够快速的获得全局的最优解,通过与ANSYS优化模块的计算结果比较验证了该方法的有效性,本方法为海上风机基础的确定性设计提供了一条有效的途径。

At the same time, another algorithm was extended for solving the problem that sub-task can be divided, and the convergency and time complexity were also given.

同时,针对子任务可分的情况,给出了另一种扩展的算法,并证明了算法的收敛性,给出了算法的时间复杂度。

Compared with traditional DFS algorithm and simulated annealing algorithm, the proposed algorithm possesses better convergency and high convergence rate.

算法克服了DFS算法收敛性差和模拟退火算法收敛速度慢的缺点。

Firstly, we adopted it to estimate the parameters in multicollinear linear regression model and proved the convergency of the algorithm.

文中提出一种病态分离的交互投影算法,用该算法对复共线的一般线性回归模型作出参数估计,并证明了算法的收敛性。

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