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【AI-NN-PR】 ga-SIMPLE DL : 0: /求下列元素的最大值：目标函数max=f(x1,x2)=x1*x1+x2*x2 取值范围在{1，2，3，4，5，6，7} //本算法在选择时使用：轮盘赌选择法、交叉时使用：单点交叉。 -A maximum of the following elements: objective function Max = f (x1, x2) x1+ x2 = x1** x2.Scope in,2,3,4,5,6,7 {1}This algorithm is used when the choice: roulette wheel selection method, cross use: single point crossover.
Update : 2024-05-18 Size : 58368 Publisher : 张烨
【VHDL-FPGA-Verilog】 2^n-divor DL : 0: 2的n次方分频设计，可以实现任意分频。使用verilog编写-n th power of 2 crossover design, you can achieve any frequency. Use verilog to write
Update : 2024-05-18 Size : 143360 Publisher : 吕攀攀
【Finance-Stock software system】 MA-Crossover-Alert DL : 1: 用于MT4平台的移动平均线交叉提醒: 可自定议两条移动平均线,当这两根线交叉时弹窗提示-Moving Average MT4 platform for cross Reminder: customizable propose two moving average lines, pop prompted when two lines intersect
Update : 2024-05-18 Size : 2048 Publisher : kolenpan
【VHDL-FPGA-Verilog】 Clk50M_div_1HZ DL : 0: 分频实验，将50M时钟分频为1HZ，输出LED1，闪亮-Crossover experiment, 50M clock divider is 1HZ, output LED1, shiny
Update : 2024-05-18 Size : 155648 Publisher : 王鸿雪
【Other】 GA DL : 0: 遗传算法的c++源代码，仅仅包含杂交和变异，不包含迁移-GA c++ source code，only contains crossover and mutation, does not include migration
Update : 2024-05-18 Size : 4826112 Publisher : Cindy Shih
【matlab】 DE DL : 0: 实现群体智能算法中进化算法基本功能，包括变异，交叉，选择等-Realization of swarm intelligence algorithms evolutionary algorithms basic functions, including mutation, crossover, selection
Update : 2024-05-18 Size : 2048 Publisher : zhangjun
【Algorithm】 biobjective DL : 0: 双目标遗传算法程序包含交叉变异迁移解码编码选择以及pareto最优解可以运行-Dual objective genetic algorithm program includes crossover and mutation migration decoding and encoding options and pareto optimal solution can run
Update : 2024-05-18 Size : 4096 Publisher : mr feng
【matlab】 Genetic-Algorithm DL : 0: 遗传算法编码、解码、遗传、交叉、变异程序程序,可根据数据数量、编码长度等对数据进行编码等相关的操作-Genetic Algorithm encoding, decoding, genetic, crossover and mutation program procedures, and other related operations for encoding data according to the number, length coding data
Update : 2024-05-18 Size : 3072 Publisher : liuyongzhi
【Other】 design DL : 0: 该算法是将sigmoid函数的变形函数应用到自适应遗传算法中，并将作业车间调度问题中的完工时间大小作为算法的评价指标，实现了交叉率和变异率随着完工时间的非线性自适应调整，较好地克服了标准遗传算法在解决作业车间调度问题时的“早熟”和稳定性差的缺点，以及传统的线性自适应遗传算法收敛速度慢的缺点。-The algorithm is the deformation function sigmoid function is applied to the adaptive genetic algorithm, and the job shop scheduling problem in the completion time as the size of the uation algorithm to achieve the crossover and mutation rate as nonlinear adaptive Completion Time adjust better to overcome the standard genetic algorithm " premature" and have poor stability in solving job shop scheduling problem, as well as traditional linear adaptive genetic algorithm convergence speed disadvantage.
Update : 2024-05-18 Size : 2048 Publisher : 裴剑辉
【Algorithm】 GA DL : 0: 应用遗传算法解决旅行商（TSP）问题，算法中的染色体交叉过程改进了基本遗传算法的交叉办法。改程序可以求解30个城市的旅行商问题，也可以稍作修改继续扩展为更多城市的旅行商问题。-Applying the genetic algorithm to solve the traveling salesman (TSP) problem, the algorithm improves the process of chromosomal crossover compared to traditional crossover approach. It can solve the traveling salesman problem in 30 cities and also can be slightly modified to continue to expand to more cities in the traveling salesman problem.
Update : 2024-05-18 Size : 1455104 Publisher : 马骏
【Program doc】 Improved-job-shop-scheduling-method DL : 0: 为了解决考虑生产总成本的车间调度问题，对引入加工成本、库存管理成本和拖期惩罚成本的车间调度问题进行了研究，提出了一种改进的遗传算法求解该问题。论述了改进遗传算法的编码、初始化、选择、交叉和变异操作，通过与基本遗传算法的仿真比较，验证了该算法在收敛速度和最优解值上的优越性。 -In order to solve the job shop scheduling problem considering the total production cost, the process cost, inventory management cost and delay penalty are introduced. This job shop scheduling problem is studied, and an improved genetic algorithm is proposed to solve this problem. The improved genetic algorithm is discussed. Encoding, initialization, selection, crossover and mutation operation, the convergence speed of the algorithm is verified through simulation comparison with the basic genetic algorithm. And the superiority of the optimal solution.
Update : 2024-05-18 Size : 476160 Publisher : 袁杰
【Compress-Decompress algrithms】 jishufenpin DL : 0: 可以实现分频功能，分频比为奇数！可实现奇数分频！-Crossover functions can be implemented, the frequency division ratio is odd! Can be realized odd division!
Update : 2024-05-18 Size : 330752 Publisher : charlieji
【matlab】 GA-Matlab-code 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 main program for the genetic algorithm binary gray encoding, use based on roulette method of non-linear ranking selection, uniform crossover, mutation, and also introduced the inversion operation.
Update : 2024-05-18 Size : 11264 Publisher : Ma Chuan
【AI-NN-PR】 Differential-Evolution DL : 0: DE 算法主要用于求解连续变量的全局优化问题，其主要工作步骤与其他进化算法基本一致，主要包括变异(Mutation)、交叉(Crossover)、选择(Selection)三种操作。算法的基本思想是从某一随机产生的初始群体开始，利用从种群中随机选取的两个个体的差向量作为第三个个体的随机变化源，将差向量加权后按照一定的规则与第三个个体求和而产生变异个体，该操作称为变异。然后，变异个体与某个预先决定的目标个体进行参数混合，生成试验个体，这一过程称之为交叉。如果试验个体的适应度值优于目标个体的适应度值，则在下一代中试验个体取代目标个体，否则目标个体仍保存下来，该操作称为选择。在每一代的进化过程中，每一个体矢量作为目标个体一次，算法通过不断地迭代计算，保留优良个体，淘汰劣质个体，引导搜索过程向全局最优解逼近。-DE primarily used for global optimization problem for continuous variables, whose main work steps consistent with other evolutionary algorithms, including variation (Mutation), crossover (Crossover), (Selection) three operations. The basic idea of the algorithm is a randomly generated initial population began using the difference vector of two individuals randomly selected the population as a source of the third random variations in individuals, in accordance with certain rules and third after the weighted difference vector individuals summing the individual mutation, the operation is called mutation. Then, the individual variation with a predetermined target individual mixing parameters to generate the individual test, this process is called cross. If the value of individual fitness test than target individual fitness value, then in the next generation self-test replace the target individual, otherwise the target individual is still preserved, the operation is called selection. In
Update : 2024-05-18 Size : 2048 Publisher : 文文山
【Other】 mgasa DL : 0: 本资源是Mgasa算法解决TSP问题的Matlab代码，资源中包括mgasa_main(Mgasa算法解决TSP问题代码)，mgasa_fitness(适应度求取函数代码)，mgasa_annealing(Mgasa算法中模拟退火代码)，mgasa_select(遗传算法中选择函数代码)，mgasa_crossover(遗传算法中染色体交叉互换函数代码)，mgasa_mutation(遗传算法中基因突变函数代码)，mgasa_change(Mgasa算法中选择过程代码)。同时代码中有Location矩阵，其中30个坐标作为TSP问题的例子。-This resource is Mgasa algorithm to solve the TSP problem matlab code, resources including the mgasa_main, the algorithm Mgasa solutions TSP code, mgasa_fitness (adaptation degree to obtain the function code), mgasa_annealing (Mgasa algorithm simulated annealing of code), mgasa_ (genetic algorithm selection function code), mgasa_crossover (genetic algorithm crossover swap function code), mgasa_mutation(genetic algorithm in gene mutation function code), mgasa_change(algorithm Mgasa selects the process of code). At the same time the code in the Location matrix, where 30 coordinates as an example of the TSP problem.
Update : 2024-05-18 Size : 4096 Publisher : lfr
【Mathimatics-Numerical algorithms】 Desktop DL : 0: 利用遗传算法求解函数的最大值，个体数目50，最大进化代数150，离散精度0.001，杂交概率0.9，变异概率0.04-Maximum use of genetic algorithm function, the number of 50 individuals, the maximum evolution generation 150, discrete precision 0.001, crossover probability 0.9, mutation probability 0.04
Update : 2024-05-18 Size : 2048 Publisher : 程序
【VHDL-FPGA-Verilog】 divider-achieved-by-verilog DL : 0: 该代码用Verilog语言实现了分频功能，主要实现对输入时钟的54分频，已通过仿真验证。-The code in Verilog realize the crossover functions, the main achievement of the input clock frequency of 54 minutes, has been verified by simulation.
Update : 2024-05-18 Size : 2048 Publisher : daruili
【matlab】 POS DL : 0: 粒子群算法（PSO）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。该程序适用于MATLAB中粒子群算法的实现。- Similar to the one of simulated annealing algorithm and particle swarm optimization (PSO) belongs to the evolutionary algorithm, it is also a departure random solutions, through iterative find the optimal solution, it is also uated by the fitness of the quality of the solution, but it is more than Genetic Algorithm Rules more simple, it does not have the genetic algorithm cross (crossover) and variation (mutation) operation, follow it through to the current search to find the optimal value of the global optimum. This algorithm is its easy implementation, high precision, rapid convergence, etc. attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm. This procedure applies to implement MATLAB Particle Swarm Optimization.
Update : 2024-05-18 Size : 1024 Publisher : 原文宾
【matlab】 GA DL : 0: 标准的遗传算法，包括选择算子、交叉算子、变异算子。-Standard genetic algorithms, including selection operator, crossover operator, mutation operator.
Update : 2024-05-18 Size : 4096 Publisher : yang
【matlab】 ga DL : 0: 遗传算法主程序，编码，选择，交叉，变异等子程序-Genetic algorithm is the main program, encoding, selection, crossover, mutation DengZi program
Update : 2024-05-18 Size : 4096 Publisher : 吴亚萍

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