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- 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!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
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- 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!-Descr iption: fga.m genetic algorithm for the main program binary Gray encoding, roulette wheel method based on linear ranking selection, uniform crossover and mutation operato
matlab_GA_7.0
- 基于MATLAB7.0，求函数f=x+10*sin(5*x)+7*cos(4*x)的最大值点，简单的单点交叉，基本位变异，赌轮盘选择.-Based on MATLAB7.0, find the function f = x+10* sin (5* x)+7* cos (4* x) the maximum point, a simple single-point crossover, the basic bit mutation, gambling roulette wheel.
GA
- 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
yichuansuanfa
- 遗传算法求解TSP问题，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!-Genetic algorithm for solving TSP problem, using the binary Gray code, based on the roulette wheel method of non-linear ranking selection, uniform crossover, mutation, but also introduce
scheduling-GA
- this the code about how to choose the best gen of the GA. it is use the roulette wheel algorithm, where the best gen will be selected randomly using this.-this is the code about how to choose the best gen of the GA. it is use the roulette wheel a
Binary-GA
- binary genetic algorithm and all its functions such as cross over, mutation, roulette wheel selection and tournament selection included
resample
- 利用赌轮模型，来对序列数据重新赋予权重。-The roulette wheel model of sequence data re-assign weights.
GA1
- 遗传算法 编码解码采用二进制编解码 交叉 变异 选择操作采用轮盘赌 -genetic algorithm The binary coding and decoding decoding Crossover Mutation The roulette wheel selection operation
zuiyoubaoliu
- 遗传算法最优保留 轮盘赌选择、单点交叉、位点变异 绘制最优适应度进化曲线-Genetic algorithm for optimal retention roulette wheel selection, single point crossover Loci draw optimal fitness evolution curve
TSP-MATLAB-CODE
- 用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原-Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best in
Real-Coded-GA
- GA algorithm for optimization with all Roulette Wheel Selection and.... with this algorithm you can optimize any function you want to minimize or maximize . just you need to make your function then add it name in this scr ipt.
BGA1031003
- // Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)-// Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)
random_model
- 随机游走模型假设各时期的收益率是独立的，并且不同时期的收益率的分布是相同的。为了更形象的理解随机游走模型，想想轮盘赌的转盘上表明了各种不同的收益率，每一期转动轮盘，就可以会根据轮盘上的标注获得下一期相应的收益。但每次转动轮盘的结果间是没有联系的，所以过去的收益率和未来的收益率是不相关的。但是由于每次转动的轮盘是相同的，所以各轮的收益率都服从相同的分布。-Random walk model assumes that the yield is independent of each period,
60953
- roulette wheel selection method in matlab
ga-SIMPLE
- /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
xujinpeng3.14
- 求函数f x+10*sin(5*x)+7*cos(4*x)的最大值点，简单的单点交叉，基本位变异，赌轮盘选择，求的最好解是24.689. ga.m为主程序，运行其即可。 参数可自己调。-The best solution is the maximum point of the function f x+ 10* sin (5* x)+ 7* cos (4* x), the simple single point crossover, the basic bit mutation, a
New-folder
- ROULETTE WHEEL SELECTION TO SELECT ANT-LION IN ANT-LION OPTIMIZER ALGORITHM
Genetic-Algorithm
- 人工智能方面 利用遗传算法解决一阶函数优化求解,运用了轮赌盘选择，单点交叉等算法-Artificial intelligence using genetic algorithms to solve a first order function optimization solution, using a round roulette wheel selection, single-point crossover algorithms
3651503969164821
- 通过jq实现轮盘抽奖的小功能，希望能分享给大家！！！！！！！(Through the realization of the roulette wheel JQ small function, I hope to share with you!!!!!!)