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genetic-algorithm
- matlab中改进遗传算法的程序，包括轮盘赌的选择，单染色体的交叉互换-improved genetic algorithm matlab procedures, including the choice of roulette, single chromosome cross swap
Compass
- 罚酒轮盘,新春应用，亲朋好友一起娱乐～大欢迎大家指点，并下载-Monastic Roulette!
lunpandu_matlab
- 轮盘赌的matlab程序可以用来解释轮盘赌算法，比较好-The matlab program roulette roulette algorithm can be used to explain, better
the-main-genetic-algorithm
- 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 for the main program of the genetic algorithm binary Gray code, based on the roulette method nonlinear ranking selection, uniform crossover and mutation, bu
selection
- Selection Operator: This is a well known selection operator for genetic algorithm: Roulette Whell Selection Operator
DeJong
- 遗传算法程序测试De Jong函数；选择方法：最优保存、轮盘赌选择、改进最佳保留；动态或静态变异；量子遗传算法测试PFH函数；运用到量子遗传算法的交叉、变异等操作。-De Jong genetic algorithm program test function selection methods: elitist, roulette selection, the best retention improvement dynamic or static variation quantum g
GA
- 本代码是一种遗传算法，基于MATLAB环境运行，适合初学者使用，选择算法是轮盘赌-This code is a genetic algorithm based on MATLAB environment to run, suitable for beginners to use, roulette selection algorithm is
asfsa
- 遗传算法程序: 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!-Genetic Algorithm: Descr iption: fga.m the main program for the genetic algorithm using binary Gray code, roulette method based on nonlinear ranking selection, unifor
TSP
- 应用遗传算法实现旅行商周游问题，包括轮盘选择，杂交，变异等算法的实现-Application of Genetic Algorithm traveling salesman problems, including roulette selection, hybridization, mutation algorithm
SELE
- 電子輪盤-按下後LED會依序轉動，停止時會停在任一顆-Electronic Roulette
GA
- 遗传算法，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!-Genetic algorithms described: fga.m main genetic algorithms binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover, mutation, but also in
GP-optimization
- 整个算法分成三部分，第一个部分是神经网络整体结构的确定，然后是遗传算法对参数的优化，然后便是利用已经优化好的参数，利用神经网络进行预测。我们根据需要优化的权值以及阈值的数量确定算法个体的长度。个体通过适应度函数计算他们的适应度，根据适应度的大小，我们使用轮盘算法，确定他们的遗传，交叉还有变异等过程，优化以后的BP神经网络可以更好地收敛。-The whole algorithm is divided into three parts, the first part is to determine
fga
- 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-GA main binary Gray code, roulette method based on nonlinear ranking selection, uniform crossover, mutation, but also introduces the inversion operation
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.
AndroidCircleMenu
- Android圆形旋转菜单，分享给大家，不仅仅是显示，还可以拖动，然后显示的值根据拖动的结果变换，可做成的demo例如：老式电话拨号程序，轮盘抽奖，大风车-Android circular rotating menu to share to everyone, not just the display, you can also drag and then drag the displayed value according to the results of transformation, c
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,
001
- 萤火虫算法的改进版，位置更新添加随机算子，局部最优解添加轮盘扰动的方法。-Firefly algorithm improved version, the location update adds random operator, local optima add roulette perturbation method.
GA-algorithms
- 结合精英保留和轮盘赌、两两竞争法的几种选择算子和单点交叉算子与改进交叉算子分别对函数最小值求解，通过仿真计算相应的平均最小值，平均运行时间等统计值，并比较优差。-Combine elitist and roulette, several pairwise competition law selection operator and a single point of crossover with improved crossover for solving the minimum functio
Dynamic-optimization
- 采用改进动态寻优方法，并结合单点、改进的交叉算子与轮盘赌、两两竞争遗传算子分别求解函数最小值，仿真结果表明其差异与优劣。-Improved dynamic optimization method, combined with a single point, improved crossover and roulette, pairwise genetic operators were competing to solve the minimum function, simulation resu