Welcome！[Sign In] ！[Sign Up]！
Front-page it | Collect it | [中国-简体中文]
FAQ Fav
Location:
Search - mutation in matlab

Search list

[AI-NN-PR] gatbx-origin1

Description: matlab中遗传算法的通用函数，如：选择、交叉、变异等常用算子的遗传算法程序-matlab genetic algorithm in the generic function, such as: selection, crossover and mutation operators, such as commonly used genetic algorithm procedure
Platform: | Size: 33792 | Author: 熊梅西 | Hits:

[source in ebook] 360139

Description: In this paper, an attractive approach for teaching genetic algorithm (GA) is presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection
Platform: | Size: 97280 | Author: ABDELHEDI | Hits:

[matlab] zkj

Description: 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
Platform: | Size: 1024 | Author: chao | Hits:

[matlab] Shop-scheduling-genetic-algorithm

Description: 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
Platform: | Size: 2048 | Author: 王龙隐 | Hits:

[matlab] MATLAB

Description: 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
Platform: | Size: 10562560 | Author: 季琳 | Hits:

[AI-NN-PR] genetic-algorithm

Description: 自然计算中遗传算法的各个程序，matlab环境下开发的源代码。best.m 求种群中适应度最大的值 calfitvalue.m 计算每个个体的适应度 calobjvalue.m 适应度函数 crossover.m 交叉变换 decodebinary.m 将二进制数转换成十进制数 decodechrom.m 将二进制数转换成十进制数 initpop.m 产生初始种群 mutation.m 变异 selection.m 选择合适的个体进行复制 main.m 主函数 -Nature of each genetic algorithm calculation procedures, matlab environment with source code. best.m find the largest population in the fitness value of calfitvalue.m calculated for each individual' s fitness calobjvalue.m fitness function crossover.m cross-conversion decodebinary.m Converts a binary number into decimal number decodechrom.m Converts a binary number into decimal number initpop.m generate initial population mutation.m variation selection.m select the appropriate individual to copy main.m primary function
Platform: | Size: 3072 | Author: 王芳 | Hits:

[AI-NN-PR] MATLAB

Description: 遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。 -In artificial intelligence, an evolutionary algorithm (EA) is a subset of evolutionary computation, a generic population-based metaheuristic optimization algorithm. An EA uses some mechanisms inspired by biological evolution: reproduction, mutation, recombination, and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the environment within which the solutions "live" (see also cost function). Evolution of the population then takes place after the repeated application of the above operators. Artificial evolution (AE) describes a process involving individual evolutionary algorithms EAs are individual components that participate in an AE.
Platform: | Size: 47104 | Author: 李际超 | Hits:

[matlab] qiyixing

Description: 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
Platform: | Size: 1024 | Author: 车队 | Hits:

[matlab] Ant_clony_of_alogrithm

Description: 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.
Platform: | Size: 260096 | Author: 陈魁 | Hits:

[AI-NN-PR] TSP-GA.zip

Description: 旅行商问题（TSP）是一个经典的优化组合问题，本个案列采用遗传算法来求解TSP问题，进行了选择、交叉、变异算子的设计，并通过MATLAB对算法进行了实现，附有详细的说明和代码。,The traveling salesman problem (TSP) is a classic combination optimization problem, in this case the column using a genetic algorithm to solve TSP problem selection, crossover and mutation operator design and realization by MATLAB algorithm, with detailed description and code.
Platform: | Size: 887808 | Author: ZHENG | Hits:

[Software Engineering] shibianyichuan

Description: 实数编码遗传算法中常用变异算子的ｍａｔｌａｂ实现及应用，用ｍａｔｌａｂ编写了各种变异算子并进行了比较-Common mutation operators in real coded genetic algorithms matlab implementation and application, various mutation operator was written using MATLAB and compared
Platform: | Size: 48128 | Author: 黄慧君 | Hits:

[Energy industry] TSP_matlab

Description: 旅行商问题(TSP)是典型的NP完全问题，遗传算法是求解NP完全问题的一种常用方法。旅行商问题(TSP)的蚁群算法实现算法。在MATLAB中用遗传算法施行对TSP问题进行了求解，进行了选择、交叉和变异算子进行了算法设计。MATLAB源代码。-Traveling Salesman Problem (TSP) is a typical NP-complete problem, genetic algorithm for solving NP-complete problems, a common method. Traveling Salesman Problem (TSP) ant colony algorithm. Implemented in MATLAB using genetic algorithms to solve the TSP problem, a selection, crossover and mutation operators of the algorithm design. MATLAB source code.
Platform: | Size: 2048 | Author: 申悦 | Hits:

[Other] Binary-GA

Description: binary genetic algorithm implementation in matlab, including Selection, Crossover, Mutation and other methods of generic alghorithm
Platform: | Size: 4096 | Author: yousefi | Hits:

[matlab] TSP

Description: 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.
Platform: | Size: 12288 | Author: wangxin | Hits:

[matlab] hanshuxunyou

Description: 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
Platform: | Size: 5120 | Author: wangxin | Hits:

[Internet-Network] M-K检验

Description: matlab中的M-K检验，对时间序列的数据进行突变检验(Read the data from the EXECL, to ensure good M-K test in MATLAB, on the time series data of mutation test)
Platform: | Size: 1024 | Author: 赵1234 | Hits:

[Other] GA

Description: In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
Platform: | Size: 4096 | Author: reyhooon | Hits:

[matlab] 遗传算法

Description: 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.)
Platform: | Size: 3072 | Author: 恰若烟雨 | Hits:

[Other] GA

Description: 遗传算法，模拟达尔文进化论的自然选择和遗产学机理的生物进化构成的计算模型，一种不断选择优良个体的算法。谈到遗传，想想自然界动物遗传是怎么来的，自然主要过程包括染色体的选择，交叉，变异（不明白这个的可以去看看生物学），这些操作后，保证了以后的个基本上是最优的，那么以后再继续这样下去，就可以一直最优了。利用遗传算法，实现三维点云的配准。(Genetic algorithm, a computational model that simulates the biological evolution of Darwin's evolutionary theory of natural selection and inheritance mechanism, is an algorithm that continuously chooses good individuals. When it comes to inheritance, think about how animal inheritance comes from in nature. The main natural processes include chromosome selection, crossover, mutation (if you don't understand this, you can look at biology). These operations ensure that the next one is basically optimal, and then continue to do so in the future, you can always be optimal.)
Platform: | Size: 2190336 | Author: 秋水不染成 | Hits:

[Other] MK突变检验及数据

Description: 针对遥感长时序数据进行MK突变点检验，亲测可用，并在MATLAB中生成折线图(MK mutation point test is carried out for remote sensing long time series data, which can be used for personal test, and line chart is generated in MATLAB)
Platform: | Size: 5120 | Author: Θ0 | Hits:
« 1 23 »

CodeBus www.codebus.net