Search - crossover matlab

Search - crossover matlab - List

[AI-NN-PR] 遗传算法的三个算子 DL : 0: 改进的遗传算法的三个操作算子，包括选择、交叉和变异。-Improved three arithmetic operator in genetic algorithm including select,crossover and mutuation
Date : 2026-01-10 Size : 2kb User : 胡玉霞
[AI-NN-PR] 差别算法matlab源码 DL : 0: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications
Date : 2026-01-10 Size : 16kb User :
[AI-NN-PR] immunity DL : 0: 提供一个人工免疫算法源程序，其算法过程包括： 1.设置各参数 2.随机产生初始群体——pop=initpop(popsize,chromlength) 3.故障类型编码，每一行为一种！code(1,:)，正常；code(2,:)，50％；code(3,:)，150％。实际故障测得数据编码，这里Unnoralcode,188％ 4.开始迭代（M次）： 1）计算目标函数值：欧氏距离[objvalue]=calobjvalue(pop,i) 2）计算群体中每个个体的适应度fitvalue=calfitvalue(objvalue) 3）选择newpop=selection(pop,fitvalue) objvalue=calobjvalue(newpop,i) ％交叉newpop=crossover(newpop,pc,k) objvalue=calobjvalue(newpop,i) ％变异newpop=mutation(newpop,pm) objvalue=calobjvalue(newpop,i) ％ 5.求出群体中适应值最大的个体及其适应值 6.迭代停止判断。-provide a source of artificial immune algorithm, the algorithm process include : 1. Two of the parameters set. Initial randomly generated groups-- pop = initpop (popsize, chromlength) 3. Fault type coding, each act a! Code (1 :), normal; Code (2, :), 50%; Code (3 :), 150%. Fault actual measured data coding, here Unnoralcode, 188% 4. Beginning iteration (M) : 1) the objective function value : Euclidean distance [objvalue] = calobjvalue (pop, i) 2) calculation of each individual groups of fitness calfitvalue fitvalue = ( objvalue) 3) = newpop choice selection (pop, fitvalue) objvalue = calobjvalue (newpop, i) =% newpop cross-crossover (newpop, pc, k) = calobjvalue objvalue (newpop, i) =% variation newpop mutation (newpop, pm ) objvalue = calobjvalue (newpop, i)% 5. groups sought to adapt th
Date : 2026-01-10 Size : 9kb User : 江泉
[AI-NN-PR] AI_GA_matlab DL : 0: 遗传算法程序主要程序 ga.m 遗传算法核心程序 BinaryExample.m 二进制编码应用程序 FloatExample.m 浮点编码的应用程序相关算子及函数 initializega.m 种群初始化函数 simpleXover.m 用于二进制编码的简单交叉算子 arithXover.m 用于浮点编码的算术交叉算子 binaryMutation 用于二进制编码的变异算子 nonMutation.m 用于浮点编码的非均匀变异算子 roulette.m 轮盘选择算子 normGeomSelect.m 标准化几何分布排序选择算子 maxGenTerm.m 以最大进化代数为判别条件的进化终止函数 calcbits.m 计算二进制编码染色体串长度的函数 f2b.m 由浮点表达到二进制表达的转换函数 b2f.m 由二进制表达到浮点表达的转换函数 parse.m 字符串识别函数 delta.m 非均匀变异的变异量计算函数 exampleFn 一个二元函数 startup.m 进行路径设置-Genetic Algorithm main proceedings ga.m GA BinaryExample core program. m binary floating-point applications FloatExample.m coding applications relevant operator and function initializega.m Stocks initialization function for binary series simpleXover.m Codes simple crossover operator arithXover.m for floating-point arithmetic coding crossover operator binaryM utation for binary coding mutation operator nonMutation.m float for the non-coding Uniform mutation operator roulette.m roulette selection operator normGeomSelect.m standards Sort of geometric distribution maxGenTerm.m selection operator algebras with the greatest evolutionary criterion for the evolution of termination calcbits.m calculation function binary coding chromosome length of the string from the floating-point functions f2b.m
Date : 2026-01-10 Size : 13kb User : 胡朋
[AI-NN-PR] wx_crossover_function DL : 0: 这是在matlab中编写的遗传算法交叉程序，经过测试的，好用没有错。-This is a matlab genetic algorithm in the preparation of cross-program, after testing, there is nothing wrong with easy to use.
Date : 2026-01-10 Size : 1kb User : 王王
[AI-NN-PR] gamatlab DL : 0: 遗传算法的MATLAB实现，各遗传因子如交叉、变异等均可以改变。-MATLAB Genetic Algorithm realize, the genetic factor, such as crossover and mutation, etc. can be changed.
Date : 2026-01-10 Size : 34kb User : 杨丽
[AI-NN-PR] GAforTSP DL : 0: 遗传算法求解TSP问题,采用轮盘赌选择方法,部分匹配交叉算子,交换变异设计.-Genetic Algorithm for TSP problem, using roulette wheel selection method, partially matched crossover operator and exchange mutation design.
Date : 2026-01-10 Size : 5kb User : 底欣
[AI-NN-PR] GA DL : 0: matlab编写的遗传算法优化程序，采用随机配对交叉，多点交叉，两点交叉，编译对目标函数进行优化-matlab genetic algorithm to optimize the preparation procedures, using a random cross-matching, multi-point crossover, two cross-cutting, the compiler of the objective function to optimize
Date : 2026-01-10 Size : 1kb User : 夏雨泽
[AI-NN-PR] cross DL : 0: 遗传算法的交叉操作的源代码-Crossover genetic algorithm source code
Date : 2026-01-10 Size : 2kb User : yab
[AI-NN-PR] MATLAByichuansunfa DL : 0: MATLAB遗传算法工具箱函数及应用实例，: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。 -MATLAB genetic algorithm toolbox function and application example: 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 use a note.
Date : 2026-01-10 Size : 194kb User : 李扬宇
[AI-NN-PR] ga DL : 0: 遗传算法中的新的多点交叉算法用来优化选择最优值-Genetic algorithm in the new multi-point crossover algorithm
Date : 2026-01-10 Size : 2kb User : zhaowei
[AI-NN-PR] matlab-SGACODE DL : 0: maltab遗传算法源程序，此程序为一个一个的小程序分开的，很完整。包括编码，设定初始种群，交叉，变异，及结束条件等-maltab genetic algorithm source code, this procedure a small as a separate process, it is complete. Including encoding, set the initial population, crossover and mutation, and the end conditions
Date : 2026-01-10 Size : 7kb User : joean
[AI-NN-PR] ga1 DL : 0: 遗传算法程序说明: 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!-Description of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
Date : 2026-01-10 Size : 3kb User : hexing
[AI-NN-PR] crossover DL : 0: matlab 的一些实例，希望对大家有所帮助，多多参考-matlab examples, I hope all of you to help, a lot of reference
Date : 2026-01-10 Size : 1kb User : 高海龙
[AI-NN-PR] yichuansuanfa_jixieshou DL : 0: 提出一种改进的遗传算法用于求解机械手运动学逆问题. 该算法采用实数编码, 其交叉概率和变异概率根据解的适应度函数值自适应调整. 计算机仿真结果显示, 该算法较简单遗传算法(SGA) 求解精度高, 收敛速度快且稳定性能好.-An improved genetic algorithm for solving the inverse problem of manipulator kinematics. The algorithm uses real number encoding, the crossover probability and mutation probability according to the fitness function value of solution adaptive. Computer simulation results show that the algorithm is relatively simple genetic algorithm for (SGA) for solving high precision, fast convergence and stable performance is good.
Date : 2026-01-10 Size : 140kb User : 杨元龙
[AI-NN-PR] Genetic DL : 0: 遗传算法中，初始化，编码，解码，选择，交叉，变异，倒位的源程序-Genetic algorithms, initialization, encoding, decoding, selection, crossover, mutation, inversion of the source code
Date : 2026-01-10 Size : 9kb User : 邓延丽
[AI-NN-PR] AdapGA DL : 0: Srinvivas提出的自适应遗传算法，交叉概率和变异概率随适应度自动改变-Srinvivas proposed genetic algorithm, crossover probability and mutation probability automatically change with fitness
Date : 2026-01-10 Size : 1kb User : liqiang
[AI-NN-PR] crossover DL : 0: 遗传规划交叉程序，可用于遗传规划的matlab实现-Genetic programming crossover procedure can be used to achieve the matlab genetic programming
Date : 2026-01-10 Size : 1kb User : 李娜
[AI-NN-PR] MATLAB-genetic-algorithm-toolbox DL : 0: 介绍遗传算法的原理，流程。详细展示了交叉，变异，选择等算子。同时，还介绍了谢菲尔德大学遗传工具箱的使用。本书对初学遗传算法者很有帮助。-Introduce the principle of genetic algorithms, processes. Detail shows crossover, mutation, selection operator. Meanwhile, the University of Sheffield also introduced the use of genetic toolbox. Genetic algorithms for beginners who book very helpful.
Date : 2026-01-10 Size : 9.27mb User : CaoJunlong
[AI-NN-PR] MATLAB genetic algorithm toolbox DL : 0: Matlab 遗传算法(Genetic Algorithm)优化工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。(The Matlab Genetic Algorithm optimization toolbox is a comprehensive function library based on basic operations and termination conditions, binary and decimal conversion and other operations. The implementation steps include: the main function of genetic algorithm and the generation function of the initial population are obtained by the input and output functions, and the basic genetic operation function is obtained by the selection, crossover and mutation operations. Taking function simulation as an example, the function optimization and GA improvement only need to rewrite function m file form)
Date : 2026-01-10 Size : 9kb User : FZenjoys

« 12 »