搜索资源列表
Particle-swarm-optimization
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法),本文档对其（MATLAB语言）详细解释-Particle swarm optimization a detailed explanation
Multi-objective-reactive-power-optimization
- The document details optimization of reactive power in DG systems integrated to utility networks
Particle-Swarm-Optimization
- this is a matlab code for particle swarm optimization for naive bayes algorithm-this is a matlab code for particle swarm optimization for naive bayes algorithm
Optimization-of-Mechanical-Design
- 机械优化设计（二位优化设计的VB实现）真实自编包用。-Optimization of Mechanical Design (two VB to achieve optimal design)
nonlinear-optimization-
- 非线性最小二乘优化问题的求解，非常适合初学者，用于非线性最小二乘求解-Suitable for nonlinear least squares optimization problem, very short routines, suitable for beginners to learn
Genetic-algorithm-optimization-BP
- 用遗传算法优化BP神经网络参数的代码，里面有源码，是做项目用到的源程序。-Code optimization BP neural network parameters using genetic algorithms, which has source code, is used to do the project source.
NSGA---II-A-multi-objective-optimization-algorith
- NSGA-II A multi-objective optimization algorithm
zuiyouhua-Optimization
- 优化计算领域的最权威的资料，很适合智能算法设计和研究。-Optimization of the field of computing the most authoritative information, it is suitable for the design and research of intelligent algorithms.
particle-swarm-optimization
- 利用粒子群优化算法寻找下列多元函数的最大值：f(x, y) = x*cos(2*pi*y) + y*sin (2*pi*x) -2≤x≤2，-2≤y≤2 要求输出最优解、最优解对应的x和y值，以及粒子群优化算法迭代过程中的适应度函数进 化曲线。-Maximum use of particle swarm optimization algorithm to find the following multivariate function: f (x, y) = x*
optimization-algorithms
- 利用matlab 代码实现最优化算法，通过实例深入理解常用优化算法实现过程-Using matlab code optimization algorithms, in-depth understanding of commonly used optimization algorithm process by way of example
Genetic-Algorithms-in-the-Design-and-Optimization
- Genetic Algorithms in the Design and Optimization of Antenna Array Patterns
Particle Swarm Optimization [Mathematica]
- PSO optimization method code in Mathematica
optimization-mathematical-methods
- 最优化课件用于最优化数学方法学习，包括惩罚函数，乘子法等-Optimization courseware for optimizing mathematical methods of learning, including the penalty function multiplier method
Single-variable-optimization
- This file contains the single variable optimization techniques.
vector-optimization
- 针对标准的Capon 波束形成在阵列导向矢量存在误差时出现严重性能退化, 本文从权矢量模约束和不确定集两个角度出发, 提出矢量最优化稳健波束形成方法, 并通过二阶锥规划进行有效求解.-When there exists the array steering vector error , the performance of standard Capon beamforming will be severely degraded .In this paper , in the view of
worst-case-performance-optimization
- 基于最差性能最优的稳健波束形成算法可以等价转换成加载样本矩阵求逆(LSMI)算法.提出了 一种新的求解方法, 准确地计算出Lag range 乘数, 给出了LSMI 算法中的最优加载量, 解决了对角加载技术中加载量估计难题.-The robust adaptiv e beamformer using w orse-case performance optimization can be converted to the loaded sample ma trix inv ersion (LS
optimization
- 最优化问题的数学解析，主要讲解背包问题，最优化，最短路径等优化模型，一数学建模的方法去理解最优化问题，课后有matlab的练习以帮助理解-Optimization of mathematical analysis, mainly on the knapsack problem, optimization, etc. shortest path optimization model, a mathematical modeling approach to understand the optimi
Simplex-algorithm--nonlinear-optimization-in-elec
- This the code for simplex algorithm in nonlinear optimization in electrical engineering ebook.-This is the code for simplex algorithm in nonlinear optimization in electrical engineering ebook.
Sensor-Deployment-Optimization
- 多传感器分配是传感器网应用过程中的一个关键问题，文章对多种方法进行了分析比较，指出了各种方法的优缺点及适用场合，值得借鉴-Sensor deployment is a fundamental issue in sensor networks. Studies on the deployment problem are concentrated on deploying sensors to cover assigned areas or set ofpoints efficientl
Optimization-genetic-algorithm
- 遗传算法优化,遗传算法基本原理程序应用举例-Optimization genetic algorithm