time

说明：  所传文件是有matlab编写的鲍威尔法，在优化设计中，有较大的作用！(The transfer document is written in matlab Powell method, the optimal design, have a greater role!)

Computational Colour Science Using MATLAB - Stephen Westland & Caterina Ripamonti(Computational Colour Science Using MATLAB- Stephen Westland & Caterina Ripamonti)

说明：  灰色gm11用于不确定关系的时序性的预测，比如降雨量等等(Gray gm11 timing of forecast uncertainty relation for example rainfall, etc.)

利用matlab编了一个pendulum仿真的例子，用来测量Gravity，希望对大家有帮助(Matlab made use of a pendulum simulation examples, used to measure Gravity, hope everyone has to help)

说明：  基于粒子群算法的配网重构策略，主要解决系统网损，电压偏移量，三相不平衡。(distributed neetwork)

在Matlab平台上实现的HDB3编码的函数，接口简单，使用方便可靠(In Matlab platform realize the HDB3 encoding function, interface is simple, easy to use and reliable)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

This is the matlab code of filter bank design.

说明：  阵列信号处理，采用遗传算法对阵列进行稀疏化处理，对于研究阵列天线的学者有帮助(Array signal processing and sparse processing with genetic algorithm are helpful to scholars who study array antenna.)

matching process require method like gethamming distance to compare and match acquisition iris