Search - mutation in matlab

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[matlab] iACSkroc100bingxingxiaochuangkoubianyi DL : 0: 这是在最初的蚁群算法的变异算子的基础上改进的变异算子，旅行商问题中含100个城市的程序-This is the first ant colony algorithm mutation operator on the basis of improving the mutation operator, Traveling Salesman Problem with 100 cities in the process
Date : 2025-12-24 Size : 2kb User : 秦云芬
[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 : 2025-12-24 Size : 115kb 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 : 2025-12-24 Size : 9kb User : yuandi
[matlab] GP DL : 0: 一种基于matlab的遗传规划编码程序其中包含交叉和变异的代码-Based on the genetic programming matlab coding procedures of crossover and mutation which contains the code
Date : 2025-12-24 Size : 28kb User : 不吃萝卜的萝卜
[matlab] speedyGAv1.3 DL : 0: 一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。-SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.
Date : 2025-12-24 Size : 3kb User : 竹子的信仰
[matlab] genetic_algorithm_matlab DL : 0: 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-fga.m the 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 : 2025-12-24 Size : 6kb User : 赵彦
[matlab] matlab DL : 0: mutation operation in genetic algorithms
Date : 2025-12-24 Size : 11kb User : agees
[matlab] pso DL : 0: This an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.-This is an implementation of Particle Swarm Optimization algorithm using the same syntax as the Genetic Algorithm Toolbox, with some additional options specific to PSO. Allows code-reusability when trying different population-based optimization algorithms. Certain GA-specific parameters such as cross-over and mutation functions will not be applicable to the PSO algorithm. Demo function included, with a small library of test functions. Requires Optimization Toolbox.
Date : 2025-12-24 Size : 4kb User : Chris Leung
[matlab] ga DL : 0: 包括遗传算法的各种运算（交叉，变异）的实例源程序代码-Various operations, including genetic algorithms (crossover and mutation) of the instance of the source code
Date : 2025-12-24 Size : 102kb User : 高利敏
[matlab] zkj DL : 0: 距离保护算法仿真主程序采用故障突变量启动算法和故障突变量选相算法；根据故障突变量选相结果确定阻抗元件计算或测距元件计算相别- Distance Protection with Fault Simulation main break variable amount of start algorithm and fault phase selection algorithm mutation mutations in the amount of fault phase selection based on the results of calculations or determine the impedance element relative to other computing devices ranging
Date : 2025-12-24 Size : 1kb User : chao
[matlab] Shop-scheduling-genetic-algorithm DL : 0: 遗传算法车间调度,车间作业调度问题遗传算法 -------------------------------------------------------------------------- 输入参数列表 M 遗传进化迭代次数 N 种群规模(取偶数) Pm 变异概率 T m×n的矩阵，存储m个工件n个工序的加工时间 P 1×n的向量，n个工序中，每一个工序所具有的机床数目输出参数列表 Zp 最优的Makespan值 Y1p 最优方案中，各工件各工序的开始时刻，可根据它绘出甘特图 Y2p 最优方案中，各工件各工序的结束时刻，可根据它绘出甘特图 Y3p 最优方案中，各工件各工序使用的机器编号 Xp 最优决策变量的值，决策变量是一个实数编码的m×n矩阵 LC1 收敛曲线1，各代最优个体适应值的记录 LC2 收敛曲线2，各代群体平均适应值的记录最后，程序还将绘出三副图片：两条收敛曲线图和甘特图（各工件的调度时序图）-Genetic algorithm scheduling, job shop scheduling problems with genetic algorithms -------------------------------------------------------------------------- genetic evolution of the input parameter list, the number of iterations M N population size (taken even) Pm mutation probability T m × n matrix, stored m one piece n a process of processing time 1 × n vector, n a process in which each machine processes the number of Zp with the best value Y1p Optimal Makespan programs, the start time of each process the workpiece can be drawn based on its optimal solution Gantt Y2p, each time the workpiece end of the process, according to its draw Gantt Y3p optimal solution, each piece of the processes using machine code Xp optimal decision variable, decision variable is a real m × n matrix encoded LC1 convergence curve 1, the generation of the best individual record of LC2 fitness convergence curve 2, the average fitness value on behalf of groups record Finally, the program will draw three pict
Date : 2025-12-24 Size : 2kb User : 王龙隐
[matlab] MATLAB DL : 0: 1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 -1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness
Date : 2025-12-24 Size : 10.07mb User : 季琳
[matlab] qiyixing DL : 0: 对信号的奇异性检测.检测第一类间断点matlab中的一个一维信号（freqbrk.dat）含有突变点，对其进行检测-Singularity detection of signal detection of the first class discontinuity points matlab in a one-dimensional signal (freqbrk.dat) containing the mutation point, its detection
Date : 2025-12-24 Size : 1kb User : 车队
[matlab] Ant_clony_of_alogrithm DL : 0: 基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。 -The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-convergence problems, the clustering effect is very good (image such as shown in the attached images). Improved ant colony algorithm is a genetic algorithm-based improvements in the basic genetic algorithm based on the added factor of variation, mutation, and thus faster convergence.
Date : 2025-12-24 Size : 254kb User : 陈魁
[matlab] ga DL : 0: In this paper, an attractive approach for teaching genetic algorithm has been presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation, and selection. An advantage of using such an approach is that the student becomes familiar with some advanced features of MATLAB, and furthermore, with the availability of other MATLAB Toolboxes such as The Control Systems Toolbox, Neural Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to develop genetic algorithm-based approaches to designing intelligent systems, which could lead to his/ her final year or MSc project.
Date : 2025-12-24 Size : 96kb User : jacob1717
[matlab] ge-alg DL : 0: In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that GA is capable of finding global or near-global optimum solutions of multi-modal functions. An application of GA in designing a robust controller for uncertain control systems is also given to show its potential in designing engineering intelligent systems
Date : 2025-12-24 Size : 193kb User : jacobjacobjacob17
[matlab] TSP DL : 0: 根据混合粒子群算法原理，在MATLAB中编程实现基于粒子群算法的TSP搜索算法，给出了适应度函数，粒子初始化，交叉操作，变异操作，最后给出了仿真结果。有图可以看出，混合粒子群算法能够较快找到连接各个城市的最优路径，谢谢，希望能够给大家带来帮助。-According to the principle of hybrid particle swarm algorithm, programmed in MATLAB Based on Particle Swarm TSP search algorithm given fitness function, particle initialization, crossover and mutation operation. Finally, the simulation results. There can be seen, hybrid particle swarm algorithm can quickly find the optimal path to connect each city, thank you, hope to be able to give us help.
Date : 2025-12-24 Size : 12kb User : wangxin
[matlab] hanshuxunyou DL : 0: 根据遗传算法理论，在MATLAB软件中编程实现基本遗传算法寻找该函数最优解。遗传算法参数设置为：种群规模100，进化次数30，交叉概率为0.6，变异概率为0.1，并给出了基本遗传算法优化过程中各代平均函数值和最有个体函数值之间的变化图，希望对大家有帮助，-According to the theory of genetic algorithms in MATLAB software programming function of the genetic algorithm to find the optimal solution. Genetic algorithm parameters set as follows: population size 100, the evolution of the number 30, a crossover probability 0.6, mutation probability of 0.1, and gives the average value of the basic function of the genetic algorithm optimization process generations and the most change map function value between the individual , we want to help, thank you
Date : 2025-12-24 Size : 5kb User : wangxin
[matlab] 遗传算法 DL : 0: 理解遗传算法的入门程序，这里面每一个程序的代码都有标注。便于理解生成种群、遗传和变异过程，附带了一个算例，可以参考。(Understand the entry procedure of genetic algorithm, in which every program's code is marked. It is easy to understand the process of population, heredity and mutation. A numerical example is provided for reference.)
Date : 2025-12-24 Size : 3kb User : 恰若烟雨
[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 : 2025-12-24 Size : 31kb User : 代码大小姐

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