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【AI-NN-PR】 MyGa_1.0 DL : 0: 基于Fortran语言的实数编码的遗传算法，非并行版本，里面有多种常见的选择算子，交叉算子，变异算子可选，并加入了小生境技术，最佳个体保存技术。对学习遗传算法的朋友们很有帮助。-Fortran-based language for real-coded genetic algorithm, non-parallel version, there are many common selection operator, crossover operator, mutation operator is optional, and add a niche technology, to save the best individual technique. Genetic algorithms for learning helpful friends.
Update : 2024-05-18 Size : 454656 Publisher : 彭鑫
【Data structs】 lala DL : 0: 用遗传算法求解最短路径问题求解的遗传算法的参数设定如下：种群大小：M = 50 最大代数：G = 1000 交叉率： = 1 c p ，交叉概率为1 能保证种群的充分进化。变异率： = 0.1 m p ，一般而言，变异发生的可能性较小-With a genetic algorithm to solve the shortest path problem of the genetic algorithm parameter settings are as follows: population size: M = 50 largest algebra: G = 1000 cross-rate: = 1 cp, the crossover probability is 1 to ensure the full evolution of populations. Mutation rate: = 0.1 mp, in general, mutations are less likely to
Update : 2024-05-18 Size : 4096 Publisher : zhouyanghua
【AI-NN-PR】 yichuansuanfaC DL : 0: 遗传算法是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型. 生存+检测的迭代搜索过程是它的核心. 具体分成五部,其中每步就是程序实现过程: 参数编码(实际问题编码到遗传基因),初始群体设定(祖先),适应度函数的设计(生存选择),遗传操作设计(遗传+变异),控制参数设计(交叉率0.2-0.99,变异率0.001-0.1). -Genetic algorithms are simulated Darwinian natural selection of genetic selection and biological evolution of the computational model. Survival+ testing iterative search process is its core. Concrete into five, each of which is the process step implementation process: parameter code (the actual problem encoded genes), the initial group setting (ancestors), the design of fitness function (survival selection), design of genetic manipulation (genetic+ variation), the control design parameters (crossover rate of 0.2-0.99, mutation rate 0.001-0.1) .
Update : 2024-05-18 Size : 9216 Publisher : manzi
【matlab】 BP_MATLAB DL : 0: 包括种群初始化、选择、交叉、变异各个子程序，每一部分都作为一个单独M文件。主程序是实现遗传算法网络的训练过程；测试程序可以对训练得到的网络进行结果测试-Including population initialization, selection, crossover and mutation all subroutines, each of which as a separate M-file. Main program is to achieve genetic algorithm network training process test procedures can be trained to get the results of the test network
Update : 2024-05-18 Size : 6144 Publisher : 樊娟娟
【AI-NN-PR】 yichuansuanfa1 DL : 0: 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: fga.m main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover and mutation, but also introduces the inversion operation!
Update : 2024-05-18 Size : 3072 Publisher : 聂小翼
【AI-NN-PR】 yichuansuanfa2 DL : 0: 基于均匀两点交叉的遗传算法能够更有效地搜索到问题的有效解。对于二进制编码方法使用上面的两种交叉操作都能达到问题的最优解,-Two crossover based on uniform genetic algorithm can more effectively search the solution to the problem effectively. For the binary coding method using the above two cross-operating to achieve the optimal solution,
Update : 2024-05-18 Size : 1024 Publisher : 聂小翼
【matlab】 yichuansuanfa3 DL : 0: 遗传算法matlab程序，步骤为设置最大迭代步数、计算当前最大的适应度、设置初始取值范围[0 255]、进入加速迭代的间隔、选择交叉、变异等-Genetic algorithm matlab program, the steps to set the maximum number of iterative steps to calculate the current maximum of fitness, set the initial range [0 255], into the accelerated iteration interval, choose the crossover and mutation
Update : 2024-05-18 Size : 1024 Publisher : 聂小翼
【AI-NN-PR】 GA-gonglv DL : 0: 提出了采用遗传算法对N路双频功率分配器进行优化设计，并在遗传算法中加入最有保持操作，便概率的交叉和变异操作。-Proposed N-way genetic algorithm to optimize the design of dual-band power splitter, and adding in the genetic algorithm to keep most operations will crossover and mutation probability.
Update : 2024-05-18 Size : 15420416 Publisher : S514506227
【VHDL-FPGA-Verilog】 Practica-4 DL : 0: vhdl code: crossover
Update : 2024-05-18 Size : 2048 Publisher : Jacob
【AI-NN-PR】 yichuansuanfa DL : 0: 这是一个很好的遗传算法程序，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-This is a good genetic algorithm, the program demonstrates a simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculate the maximum number of generations where fitness algebra
Update : 2024-05-18 Size : 50176 Publisher : 王春
【matlab】 GA DL : 0: 遗传算法，分为个7个子函数：分别为编码、解码、选择、交叉、变异、目标函数和总调用。有详细的注释。-Genetic algorithm, into a seven sub-functions: respectively, encoding, decoding, selection, crossover and mutation, the objective function and the total calls. There are detailed notes.
Update : 2024-05-18 Size : 3072 Publisher : pan
【AI-NN-PR】 particle-swarm-algorithm---matlab DL : 0: PSO 算法属于进化算法的一种，和遗传算法相似，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-PSO algorithm is an evolutionary algorithm, and genetic algorithm is similar, it is starting from a random solution, by iteration to find the optimal solution, it is also to evaluate the fitness of the solution by the quality, but it is much simpler than the rules of the genetic algorithm, It is not genetic algorithms " cross" (Crossover) and " variant" (Mutation) operations, which by following the optimal value of the current search to find the global optimum
Update : 2024-05-18 Size : 20480 Publisher : shitou
【AI-NN-PR】 genetic-algorithm DL : 0: 基于C语言，实现遗传算法得到最优值，其中包括选择、交叉、变异操作-C-based, genetic algorithm to achieve optimal value, including selection, crossover and mutation
Update : 2024-05-18 Size : 1286144 Publisher : Lee
【matlab】 Genetic_Algorithm DL : 0: A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Update : 2024-05-18 Size : 1024 Publisher : soroosh
【AI-NN-PR】 adaptive-genetic-algorithm DL : 0: 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费时间, 这在很大程度上限制了它的应用. 为了能够自动地获得最佳的 SVM 参数, 提出了基于自适应遗传算法的 SVM 参数选取方法. 该方法根据适应度值自动调整交叉概率和变异概率, 减少了遗传算法的收敛时间并且提高了遗传算法的精度, 从而确保了 SVM 参数选择的准确性. 将该方法应用于船用锅炉汽包水位系统建模, 仿真结果表明由该方法所得的 SVM 具有较简单的结构和较好的泛化能力, 仿真精度高, 具有一定的理论推广意义.- The support vector m achine ( SVM ) is a prom ising artificia l inte lligence technique, in w hich the regres sion a lgorithm has a lready been used to so lve the nonlinear function approach successfully. Un fortunate ly, m ost us ers se lect param eters for an SVM by ru le o f thumb, so they frequently fail to generate the optim al approach ing e ffect for the function. Th is has restricted effective use o f SVM to a great degree. In order to get optim a l param eters auto m atically, a new approach based on an adaptive genetic a lgorithm ( AGA ) is presented, w hich autom atica lly ad justs the param eters for SVM. This m ethod se lects crossover probability and mutation probab ility accord ing to the fitness va lues of the object function, therefo re reduces the convergence tim e and im proves the prec ision o fGA, in suring the accuracy of param eter se lection. Th is m ethod w as applied to m odeling of w ater level system o f a sh ip b
Update : 2024-05-18 Size : 331776 Publisher :
【AI-NN-PR】 Gan DL : 0: 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!-The main genetic algorithm binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversion operation!
Update : 2024-05-18 Size : 61440 Publisher : cityuyang
【AI-NN-PR】 genetic-algorithm DL : 0: 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
Update : 2024-05-18 Size : 3072 Publisher : 王芳
【AI-NN-PR】 Gray-code DL : 0: 改进的GA. 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!-Improved GA. Fga.m main program for the genetic algorithm uses a binary Gray code, roulette method based on linear ranking selection, uniform crossover and mutation, but also introduces the inversion operation!
Update : 2024-05-18 Size : 34816 Publisher : 孟扬
【VHDL-FPGA-Verilog】 clk_div DL : 0: 任意整数分频器，通过改变参数，可设置所需要的分频频率和占空比-Arbitrary integer divider, by changing the parameters, you can set the desired crossover frequency and duty cycle
Update : 2024-05-18 Size : 22528 Publisher : ifeng
【AI-NN-PR】 GA DL : 0: 遗传算法求函数最值问题 matlab代码使用轮盘赌选择交叉变异-Genetic algorithm for function most value problem matlab code crossover and mutation using the roulette wheel selection
Update : 2024-05-18 Size : 1024 Publisher : 小新

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