clust

车间作业调度问题遗传算法通用MATLAB源程序(the source code is for the workshop schedule program with matlab)

NUMERICAL INTEGRATION: Implementation of the routine of order 8 and applied on the function sin(x), 0<=x<=pi Code is very understodable, and converge very fast.

wallpaper MDI window

TD-SCDMA trunked system

MABLBA数学手册，入门提高学习资料，包含MATLAB全部数学命令函数的使用方法及示例。(MABLBA Mathematics Handbook, Introduction to improve learning materials, including all MATLAB functions use mathematical commands and examples.)

多尺度Retinex代码算法，能够很好的是实现边缘锐化和对比度增强。(Multi scale Retinex code algorithm, can very good realize edge sharpening and contrast enhancement.)

maximum power point traking p and o

说明：  这是一个关于MATLAB的编程资料,很好看的哦,请大家都来参考参考吧!欢迎与我一起学习哦!(on MATLAB programming information, see the good, oh, please refer to reference all! I welcome and learning together!)

％ [BestPop,Trace]=fmaxga(FUN,LB,UB,eranum,popsize,pcross,pmutation) ％ Finds a maximum of a function of several variables. ％ fmaxga solves problems of the form: ％ max F(X) subject to: LB <= X <= UB ％ BestPop--------最优的群体即为最优的染色体群 ％ Trace----------最佳染色体所对应的目标函数值 ％ FUN------------目标函数 ％ LB-------------自变量下限 ％ UB-------------自变量上限 ％ eranum---------种群的代数,取100--1000(默认1000) ％ popsize--------每一代种群的规模；此可取50--100(默认50) ％ pcross---------交叉的概率,此概率一般取0.5--0.85之间较好(默认0.8) ％ pmutation------变异的概率,该概率一般取0.05-0.2左右较好(默认0.1) ％ options--------1×2矩阵,options(1)=0二进制编码(默认0),option(1)~=0十进制编码,option(2)设定求解精度(默认1e-4)( [BestPop, Trace] = fmaxga (FUN, LB, UB, eranum, popsize, pcross, pmutation) Finds a maximum of a function of several variables. Fmaxga solves problems of the form: max F (X) subject to : LB <= X <= UB BestPop-------- optimal chromosome groups is the best group Trace---------- chromosome corresponding to the best objective function value FUN------------ objective function LB------------- variable lower limit since the UB------------- variable upper limit eranum--------- populations algebra, take 100- 1000 (default 1000) popsize-------- population size of each generation this desirable 50- 100 (default 50) pcross--------- crossover probability, the probability of a general check 0.5- 0.85 between the better (default 0.8) pmutation------ mutation probability, the probability of 0.05 general admission better about-0.2 (default 0.1) options-------- 1 × 2 matrix, options (1) = 0 binary code (default 0), option (1) ~ = 0 decimal coding, option (2 ) set accuracy (default 1e-4))

GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼，如alpha，beta，delta和omega，用于模拟领导层次结构。此外，实施狩猎，搜寻猎物，环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括：发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization. Compression packages include: published papers, optimization algorithm code, optimization toolbox.)