Search - crossover matlab

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[matlab] matlab遗传算法程序(new) DL : 0: 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
Date : 2026-01-10 Size : 6kb User : enao
[matlab] crossover DL : 0: matlab环境下的遗传算法交叉程序，有不当之处敬请指教-Matlab environment of cross-GA procedures, it can be faulted Comments enlighten
Date : 2026-01-10 Size : 1kb User : 闫小月
[matlab] mutation DL : 0: matlab程序遗传算法变异程序敬请各位高手指教-Matlab procedures genetic algorithm variation procedures you please enlighten master
Date : 2026-01-10 Size : 1kb User : 闫小月
[matlab] gafmax DL : 0: ％ [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)
Date : 2026-01-10 Size : 3kb User : mmcc
[matlab] GAGJ) DL : 0: 改进的GA. fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作! -improved GA. Fga.m for the main program of genetic algorithm using binary Gray code, Based on the roulette method of nonlinear ranking choice, uniform crossover and mutation, but also to introduce the inversion operation.
Date : 2026-01-10 Size : 3kb User : 林洋
[matlab] immune-genetic-algorithm DL : 0: 免疫遗传算法matlab 程序,该算法由抗原识别、初始抗体产生、适应度计算、向记忆细胞分化、抗体的促进和抑制、抗体产生(交叉、变异) 六个模块组成-immune genetic algorithm Matlab procedure, the algorithm by antigen identification, initial antibody, fitness, to the memory cells, antibody for the promotion and inhibition, antibody (crossover and mutation) six modules
Date : 2026-01-10 Size : 1kb User : He Hong
[matlab] AGAandLAGA DL : 0: 两种改进的遗传算法（自适应交叉概率的遗传算法，加入领域竞争策略的遗传算法）相比较的matlab程序，基于UCI的两个数据集，可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures, the UCI based on two data sets, can run the program directly observe the effect.
Date : 2026-01-10 Size : 370kb User : zym
[matlab] Matlab2 DL : 0: ：Matlab遗传算法(GA)优4~-r-具箱是基于基本操作及终止条件、二进制和十进制相互转换等操作的综合函数库。其实现步骤包括：通过输入及输出函数求出遗传算法主函数、初始种群的生成函数，采用选择、交叉、变异操作求得基本遗传操作函数。以函数仿真为例，对该函数优化和GA改进，只需改写函数m文件形式即可。-: Matlab genetic algorithm (GA) U 4 ~-r-a box is based on the basic operation and termination conditions, binary and decimal conversion operation, such as a comprehensive function library. The realization of these steps include: input and output functions through the genetic algorithm to derive the main function, initial population generation function, the use of selection, crossover, mutation operation to achieve the basic function of genetic manipulation. Simulation in order to function as an example, the GA function optimization and improvement, just rewritten m the form of a document can function.
Date : 2026-01-10 Size : 115kb User : icyrock
[matlab] Matlab3 DL : 0: ：基于Matlab语言的遗传算法工具箱支持二进制和浮点数编码方式，并且提供了多种选择、交叉、变异的方法。通过具体实例对Matlab的遗传算法工具箱的用法进行了说明介绍。-: Based on the Matlab language genetic algorithm toolbox and floating point support for binary encoding, and provides a wide range of selection, crossover and mutation method. Through concrete examples of Matlab genetic algorithm toolbox described the usage of introduction.
Date : 2026-01-10 Size : 98kb User : icyrock
[matlab] SGA2[1].0 DL : 0: GA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；-GA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithms, which mimic the breeding populations of the law to be optimized. SGA can optimize this variable, and the minimum value, maximum value (when the function of the countdown you will seek the minimum value) and to support the floating-point encoding, grey code, binary code round of gambling options, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point variation
Date : 2026-01-10 Size : 9kb User : yuandi
[matlab] fga DL : 1: 遗传算法MATLAB函数程序，格雷编码，均匀，多点交叉，倒位操作-Genetic Algorithm MATLAB function procedures, Gray coding, uniform, multi-point crossover, inversion operation
Date : 2026-01-10 Size : 3kb User : 高兴
[matlab] MATLAB DL : 0: 《MATLAB程序设计教程》电子教案～～～有助于matlab学习-" MATLAB Programming Guide" e-lesson plans ~ ~ ~ help matlab learning
Date : 2026-01-10 Size : 186kb User : zhengzhaohui
[matlab] 终板 matlab程序 DL : 0: 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！(GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!)
Date : 2026-01-10 Size : 87kb User : Cookie_upc
[matlab] 用MATLAB实现遗传算法程序.pdf DL : 0: 遗传算法的基本步骤如下： 1）在一定编码方案下，随机产生一个初始种群； 2）用相应的解码方法，将编码后的个体转换成问题空间的决策变量，并求得个体的适应值； 3）按照个体适应值的大小，从种群中选出适应值较大的一些个体构成交配池； 4）由交叉和变异这两个遗传算子对交配池中的个体进行操作，并形成新一代的种群； 5）反复执行步骤2-4，直至满足收敛判据为止。(The basic steps of the genetic algorithm are as follows: 1) under certain coding schemes, an initial population is randomly generated; 2) use the corresponding decoding method to convert the encoded individuals into questions The decision variable of the problem space is obtained and the fitness value of the individual is obtained; 3) according to the size of individual fitness, the fitness is selected from the population Larger individuals constitute mating pools; 4) by crossover and mutation, these two genetic operators are pairs of mating pools Individuals operate and form a new generation of populations; 5) repeat step 2-4 until the convergence criterion is satisfied.)
Date : 2026-01-10 Size : 75kb User : 傲视天下
[matlab] Matlab遗传算法的部分映射交叉算子（pmx）源码 DL : 0: Matlab遗传算法的部分映射交叉算子（pmx）源码(Partial mapping crossover operator (PMX) source code of Matlab genetic algorithm)
Date : 2026-01-10 Size : 1kb User : jadee
[matlab] function crossover mutation selection DL : 0: use crossover, mutation, selection
Date : 2026-01-10 Size : 10kb User : cicily
[matlab] function crossover mutation selection DL : 0: 利用matlab实现变异，交叉，选择等功能(crossover, mutation with MATLAB)
Date : 2026-01-10 Size : 10kb User : cicicily
[matlab] function crossover mutation &selection DL : 0: 利用matlab实现种群的选择，交叉，变异等功能(realize of selection, mutation and crossover)
Date : 2026-01-10 Size : 10kb User : cicicicil
[matlab] crossover DL : 1: 负载均衡调度问题：假设有N个任务，需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点（下面简称“节点”）的处理速度已知，请给出一种任务分配方式，使得所有任务的总处理时间最短。crossover(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.crossover)
Date : 2026-01-10 Size : 2kb User : 言木
[matlab] 免疫算法求解配送中心选址问题matlab代码 DL : 0: 免疫算法求解配送中心选址问题，配送中心向需求点配送货物是供应链中的重要部分.本文以成本最低为目标函数,把距离上限加入到惩罚机制,并根据抗体和抗原之间的亲和力设计自适应交叉和变异概率,把自适应的免疫算法应用到配送中心模型中进行求解,最后通过仿真实验对比验证了算法用在配送中心选址上有较好的效果.(Immune Algorithm is used to solve the location problem of Distribution Center, which is an important part of supply chain. This paper takes the lowest cost as the objective function, adds the upper distance limit to the penalty mechanism, and designs the adaptive crossover and mutation probability according to the affinity between antibody and Antigen, the adaptive immune algorithm is applied to the distribution center model to solve the problem. Finally, the simulation results show that the algorithm is effective in the location of Distribution Center.)
Date : 2026-01-10 Size : 31kb User : 代码大小姐

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