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【File Format】 GA DL : 0: 详细介绍GA的PPT,编码,解码,选择,交叉,变异,都是很好的指导性材料-GA details of the PPT, encoding, decoding, selection, crossover and mutation, are very good guidance material
Update : 2024-05-04 Size : 351232 Publisher : 周晓阳
【AI-NN-PR】 include DL : 0: 用遗传算法解根号2，求根号2，也就是求方程f(x)=x*x-2=0的正整数解，x=1时f(1)<0，x=2时f(2)>0，由介值定理，则1到2中间存在一个根，根据代数基本定理和根的对称性知这就是我们要找的根（废话，初中生都知道是1.414左右），由目标函数得到适应度函数，我们选择个体都在[1,2]之间，那适应度函数我可以取 j(x)=40/(2+|x*x-2|)-10，由x的取值范围知j的范围是(0,10) x和y交叉就用取平均(x+y)/2，交叉概率取0.9，变异概率为0，-Using genetic algorithm for solving square root of 2, Roots, No. 2, that is, of equation f (x) = x* x-2 = 0 the positive integer solution, x = 1 Shi f (1) < 0, x = 2 Shi f (2) " 0, by the intermediate value theorem, then there is a 1-2 middle of the root, according to the fundamental theorem of algebra and the symmetry of the root to know that is what we are looking for the root (nonsense, junior high school students all know that 1.414 or so), from the target function to fitness function, we have chosen to individuals are in [1,2] between the fitness function that I can take j (x) = 40/(2+ | x* x-2 |)-10, from the x' s j known range of the range is (0,10) x and y cross on the use of taking the average (x+ y)/2, taking 0.9 crossover probability, mutation probability of 0,
Update : 2024-05-04 Size : 3072 Publisher : yuxin
【AI-NN-PR】 gatb DL : 0: 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-Program demonstrates that the simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculating the maximum number of generations where the fitness of algebraic
Update : 2024-05-04 Size : 1826816 Publisher : yonghuazhu
【AI-NN-PR】 java_evolutionary_algorithms DL : 0: 用Java实现的进化算法包。包括遗传算法、粒子群算法、memetic算法和进化策略算法。-evolutionary-algorithm Evolutionary Algorithm package implemented using Java. The package serves as a foundation class library, supporting the implementation many variants of Evolutionary Algorithms, currently including Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Memetic Algorithm (MA), Evolution Strategy (ES). Highlighted features · Support both binary & real-coded string representations of solution · Operator-based design for flexibility · EA Operators: Selection, Crossover, Mutation, Move operators in PSO & and the adaptive scheme in EA · Individual learning: Davidon–Fletcher–Powell (DFP) and Davies, Swann, and Campey with Gram-Schmidt orthogonalization (DSCG) strategies and Random Mutation Hill-climbing (RMHC) In addition, algorithm pipeline which is specified by XML file is also provided for practitioner to configure & design evolutionary algorithms at ease. User can edit runtime & algorithm parameters in the configuration file (XML) & issue the co
Update : 2024-05-04 Size : 104448 Publisher : 陈雷
【AI-NN-PR】 yichuansuanfa DL : 0: 遗传算法，通过选择、交叉、变异求取函数最优解c程序简单实现，并拥有最优保存思想。-Genetic algorithm, selection, crossover and mutation to strike a function of the optimal solution c procedures are simple to achieve, and has saved the best idea.
Update : 2024-05-04 Size : 2048 Publisher : 杨光
【matlab】 hanshu DL : 0: MATLAB,通过遗传算法实现函数的最值问题，包含选择，交叉以及变异操作-MATLAB, through the genetic algorithm function, the most value problems, including selection, crossover and mutation operations
Update : 2024-05-04 Size : 1024 Publisher : jiangqianbin
【matlab】 yizhgaijindeyic DL : 0: 一种改进的遗传算法程序,二进制编码的交叉算子,FloatExample和BinaryExample分别采用浮点编码和二进制编码方法-An improved genetic algorithm process, the binary-coded crossover operator, FloatExample and BinaryExample respectively floating point coding and binary coding method
Update : 2024-05-04 Size : 13312 Publisher : 周某某
【AI-NN-PR】 RGA DL : 0: 这是一个采用了UNDX-MMG模型的实数遗传算法。有5个测试函数。-the code is for real coded genetic algorithm using UNDX crossover and MMG model. it is tested using five bench mark function
Update : 2024-05-04 Size : 6144 Publisher : chenzhiqiang
【Communication-Mobile】 crccontrol DL : 0: The following program is written to simulate a randomly generated message under BSC(p) channel. It examines whether or not the generator polynomial to be strong enough to be used at a given packet size and crossover probability p.
Update : 2024-05-04 Size : 2048 Publisher : hatsou
【AI-NN-PR】 yichuansuanfa 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 binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but also introduces the inversion operation!
Update : 2024-05-04 Size : 8192 Publisher : 曾建
【matlab】 GA-PNestimation DL : 0: 用遗传算法估计伪随机码（PN序列），包含初始化，选择，交叉，变异-Is estimated by using genetic algorithms pseudo-random code (PN sequence), including initialization, selection, crossover and mutation
Update : 2024-05-04 Size : 3072 Publisher : defang
【AI-NN-PR】 genetic_algorithms DL : 0: 遗传算法，使用浮点编码，使用自适应的交叉和变异因子-Genetic algorithm, the use of floating-point encoding, the use of adaptive crossover and mutation factor
Update : 2024-05-04 Size : 2048 Publisher : 周一一
【AI-NN-PR】 the_use_of_ga DL : 0: 给出了遗传算法的基本参数设置要求，包括交叉、变异、选择-Given the basic parameters of genetic algorithm to set demands, including the crossover, mutation, selection, etc.
Update : 2024-05-04 Size : 2048 Publisher : 赵桓
【Other】 KnapsackProblem DL : 0: 基本遗传算法带最优保存思想的背包问题，其中，目标值那段代码使用的是惩罚函数法，选择是概率选择，交叉是双点随机交叉，变异是概率变异-The basic genetic algorithm with elitist thinking knapsack problem, which is a target that part of the code using penalty function method, choice is the probability of selection, crossover is a two-point random crossover and mutation is the probability of mutation
Update : 2024-05-04 Size : 2048 Publisher : 田文杰
【VHDL-FPGA-Verilog】 VHDL DL : 0: 分频跑马灯数码管示范代码能实现分频跑马灯数码管示范-Crossover Marquee digital control Model Code
Update : 2024-05-04 Size : 5120 Publisher : wst
【AI-NN-PR】 genetic DL : 0: matlab遗传算法编码采用基本遗传算法同时加入刘海交叉法对算法进行改进解决TSP问题-matlab genetic algorithm coding the basic genetic algorithm using crossover method Liu also added to improve the algorithm to solve TSP problems
Update : 2024-05-04 Size : 3072 Publisher : mm
【AI-NN-PR】 GeneticAlgorithms DL : 0: 遗传算法源代码,实现了选择操作、交叉操作和变异操作，通过适应度函数完成种群的选择及收敛.-Genetic algorithm source code, to achieve the selection operation, crossover operation and mutation operation, through the completion of the fitness function the choice of populations and convergence.
Update : 2024-05-04 Size : 10240 Publisher : 易志成
【Other】 pso DL : 0: 粒子群优化(Particle Swarm Optimization - PSO) 算法是一种新兴的有潜力的进化算法( Evolutionary Algorithm - EA) .PSO 算法,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. 但是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
Update : 2024-05-04 Size : 1675264 Publisher : 张岩
【matlab】 GAfun DL : 0: 遗传算法在函数中的应用，它包括编码、交叉、变异、选择等详细的编程，对学习遗传算法很有帮助。-Genetic Algorithms in a function application, which includes coding, crossover and mutation, select details such as programming, genetic algorithm is useful for learning.
Update : 2024-05-04 Size : 30720 Publisher : 蔡蓓蓓
【Software Engineering】 dividerfrequency DL : 0: 分频器，包括2分频，4分频，8分频，16分频；6分频；20分频-Divider, including two-way, 4-way, 8-way, 16 sub-frequency six-way 20 Crossover
Update : 2024-05-04 Size : 1024 Publisher : Yothen.Lam

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