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【matlab】基本遗传算法 DL : 0: 基本遗传算法应用实例。用基本遗传算法求下面函数的最大值。F=x^3-60*x^2+900*x+100，0<=X<=30.个体数目去50，最大进化代数取100，离散精度去0.01，杂交概率取0.9.(Application examples of basic genetic algorithm. Apply the basic genetic algorithm to the maximum of the following functions. F=x^3-60*x^2+900*x+100, 0<=X<=30. number goes 50, maximum evolution algebra takes 100, discrete precision goes 0.01, crossover probability takes 0.9.)
Update : 2024-05-18 Size : 2048 Publisher : 三百碗饭
【matlab】遗传算法求解VRP问题的技术报告 DL : 0: 本文通过遗传算法解决基本的无时限车辆调度问题。采用车辆和客户对应排列编码的遗传算法，通过种群初始化，选择，交叉，变异等操作最终得到车辆配送的最短路径。通过MATLAB仿真结果可知，通过遗传算法配送的路径为61.5000km,比随机配送路径67km缩短了5.5km。此结果表明遗传算法可以有效的求解VRP问题。(In this paper, genetic algorithm is used to solve the basic vehicle scheduling problem without time limit. Using the genetic algorithm of vehicle and customer corresponding permutation coding, through the initialization of population, selection, crossover and mutation, the shortest route of vehicle delivery is obtained. Through MATLAB simulation results, we can see that the route of delivery through genetic algorithm is 61.5000km, which is 5.5km shorter than the random delivery path 67km. The results show that the genetic algorithm can solve the VRP problem effectively.)
Update : 2024-05-18 Size : 96256 Publisher : 阿雨
【Other】 _基于交叉库与并行变异的自适应遗传算法_苗振华 DL : 0: 遗传算法在交叉，变异中的并行关系。。。。。。。。。(Parallel relation of genetic algorithm in crossover and mutation)
Update : 2024-05-18 Size : 3844096 Publisher : 小蜗牛慧慧
【matlab】差分进化算法 DL : 0: 一个增强版的遗传算法，用于波束赋形，可供初学者学习使用(Parallel relation of genetic algorithm in crossover and mutation)
Update : 2024-05-18 Size : 1024 Publisher : 小蜗牛慧慧
【matlab】波束成形 DL : 1: 关于智能天线的一些MATLAB仿真源程序，详细讲述了波束成形、波达方向以及LMS算法、LS算法等仿真程序，具有通俗易懂，便于修改调试等特点(Parallel relation of genetic algorithm in crossover and mutation)
Update : 2024-05-18 Size : 84992 Publisher : 小蜗牛慧慧
【matlab】粒子群算法 DL : 0: 粒子群算法代码，一种搜寻最优解的算法。它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。(Particle swarm algorithm, a search algorithm for optimal solutions. It does not have the "Crossover" and "Mutation" operations of the genetic algorithm, which seeks the global optimal by following the optimal value of the current search.)
Update : 2024-05-18 Size : 2048 Publisher : 名字好难
【Graph program】 iutationcrossover DL : 0: 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,(Using binary Gray coding, based on roulette method, non-linear ranking selection, uniform crossover, mutation,)
Update : 2024-05-18 Size : 3072 Publisher : Cyagne
【AI-NN-PR】 myPSO DL : 0: 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO，是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Function optimization)
Update : 2024-05-18 Size : 6144 Publisher : xym111
【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.)
Update : 2024-05-18 Size : 76800 Publisher : 傲视天下
【matlab】 GA_backpack DL : 0: 用MATLAB实现遗传算法解决0-1背包问题。赌轮选择，单点交叉，变异(GA_MATLAB about 0-1knapsack problem roulette wheel selection; single-point crossover; variation;)
Update : 2024-05-18 Size : 25600 Publisher : 光速公鹿
【Mathimatics-Numerical algorithms】 matlab遗传算法程序_2017 DL : 0: MATLB做的经典遗传算法程序，包括算法的选择、交叉、变异函数，以及一些简单的MABTLAB遗传算法例子！(Classical genetic algorithm MATLB program, including the selection of algorithms, crossover, variogram, and some simple examples of MABTLAB genetic algorithm!)
Update : 2024-05-18 Size : 54272 Publisher : wliaoc
【AI-NN-PR】 GA-BP DL : 0: 算法基本要素： 1.染色体编码方法 2.适应度函数 3.遗传操作—-（选择、交叉、变异） 4.运行参数—（参数：群体大小M、遗传代数G、交叉概率Pc和变异概率Pm）(Basic elements of algorithm: 1. chromosome coding method 2. fitness function 3. - the genetic operation (selection, crossover and mutation) 4. operating parameters - (parameter: group size M, genetic algebra G, cross probability Pc and variation probability Pm))
Update : 2024-05-18 Size : 6144 Publisher : Guoshanchuan
【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)
Update : 2024-05-18 Size : 1024 Publisher : jadee
【matlab】 gatbx1.3 DL : 0: matlab的遗传算法工具箱，包含选择、交叉、变异等算子(Matlab genetic algorithm toolbox.Operators such as selection, crossover and mutation are included.)
Update : 2024-05-18 Size : 219136 Publisher : youthyzz
【matlab】遗传算法程序 matlab DL : 0: 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(As the main program of genetic algorithm, binary Gray encoding is adopted, nonlinear ranking selection based on roulette method, uniform crossover, mutation operation, and inversion operation are also introduced)
Update : 2024-05-18 Size : 3072 Publisher : 时章漫
【AI-NN-PR】 liziqun DL : 0: 粒子群算法，也称粒子群优化算法或鸟群觅食算法(Particle Swarm Optimization)，缩写为 PSO，是近年来由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的"交叉"(Crossover) 和"变异"(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle Swarm Optimization)
Update : 2024-05-18 Size : 1425408 Publisher : Soferia
【AI-NN-PR】 GA DL : 0: 使用python实现遗传算法的基本功能，包括变异，交叉，选择(Using Python to achieve the basic functions of genetic algorithms, including mutation, crossover, selection)
Update : 2024-05-18 Size : 6144 Publisher : masterpawn
【Other】 GA DL : 0: 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.
Update : 2024-05-18 Size : 4096 Publisher : reyhooon
【Mathimatics-Numerical algorithms】人工免疫算法源程序 DL : 0: 人工免疫算法通过复制、交叉、变异主要完成对象的建模、优化和预测。(The artificial immune algorithm completes the modeling, optimization and prediction of the object by replicating, crossover and mutation.)
Update : 2024-05-18 Size : 6144 Publisher : 小丑鱼glw
【matlab】 DE_TCR DL : 0: matlab脚本实现了DE_TCR算法-自适应交叉机制的混合差分进化算法，对研究进化算法具有一定帮助。(These matlab scripts implement a version of the DE_TCR algorithm which is a Hybrid Differential Evolution Algorithm With Adaptive Crossover Mechanism.)
Update : 2024-05-18 Size : 9216 Publisher : 小鹏1578

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