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Description: 该程序为使用了轮盘赌选择方式、单点交叉和基本位变异算子，内嵌精英保留策略的基本遗传算法。其实现使用了固定数组，使用一个常用的测试函数。-The procedure for the use of a roulette wheel selection, single-point crossover and basic bit mutation operator, embedded elite reservation strategy for the basic genetic algorithm. The realization of the use of a fixed array, the use of a commonly used test functions.
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Size: 3072 |
Author: 东方志柱 |
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Description: 在工业工程中,许多最优化问题性质十分复杂,很难用传统的优化方法来求解.自1960年以来,人们对求解这类难解问题日益增加.一种模仿生物自然进化过程的、被称为“进化算法（evolutionary algorithm）”的随机优化技术在解这类优化难题中显示了优于传统优化算法的性能。目前，进化算法主要包括三个研究领域：遗传算法、进化规划和进化策略。其中遗传算法是迄今为止进化算法中应用最多、比较成熟、广为人知的算法。-In industrial projects, many of the optimization problem very complex nature, it is difficult using traditional optimization methods to solve. Since 1960, people have to solve such difficult problems is growing. A mimic natural biological evolution, and was said as
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Size: 186368 |
Author: starboy_2nd |
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Description: 遗传算法求解TSP问题,采用轮盘赌选择方法,部分匹配交叉算子,交换变异设计.-Genetic Algorithm for TSP problem, using roulette wheel selection method, partially matched crossover operator and exchange mutation design.
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Size: 5120 |
Author: 底欣 |
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Description: 无约束条件 max f(x1,x2)=21.5+x1*sin(4*pi*x1)+x2sin(20*pi*x2)
-3.0<x1<12.1
4.1<x2<5.8
1％的变异
25％交叉
旋转转轮选择
-Unconstrained conditions max f (x1, x2) = 21.5+ X1* sin (4* pi* x1)+ X2sin (20* pi* x2)-3.0 <x1 <12.14.1 <x2 <5.81 of variation 25 cross-rotating wheel selection
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Size: 6144 |
Author: sp |
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Description: Roulette Wheel Selection
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Size: 122880 |
Author: tekguc |
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Description: 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 using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation
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Size: 6144 |
Author: 赵彦 |
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Description: 采用了保优的选择遗传算法
终止条件的判断是：到达一定的代数。可改进为：相邻若干代的种群平均适应值的变化来判断。若相邻若干代的种群平均适应值为变化或者是变化小于某一阈值，表示算法已经收敛，则退出算法。
选择算子：轮盘赌选择；
交叉算子：单点交叉,随机选择计算此适应度值，若大于当前最佳适应度值则降低交叉概率，否则不变；
变异算子：模板,对于优势个体，除采用低概率变异外，变异位置应采取权值越大，变异概率越小的原则,而对劣势个体则相反.-Paul used the choice of excellent conditions for the termination of genetic algorithm to determine is: a certain algebra. Could be improved as follows: adjacent to the average number of generations of populations to adapt to the changes to determine the value. Adjacent to several generations if the population average fitness for the change or changes in less than a threshold, that the algorithm has been convergence, then from the algorithm. Selection operator: roulette wheel selection crossover: single-point crossover, randomly selected to calculate the fitness value, if greater than the current best fitness value to reduce the probability of crossover, otherwise remain unchanged mutation operator: the template for advantage of the individual, with the exception of the use of low-probability variation, the variation of the location of the greater weight should be taken, the smaller the mutation probability principle, and that the opposite is true for the inferior individual.
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Size: 6144 |
Author: 棋子 |
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Description: 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!-Description of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
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Size: 3072 |
Author: hexing |
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Description: This program runs a GA. The roulette wheel method for parent
selection is used here. Elitism is included. Parent selection is
from the population including the elite chromosomes. The standard
bit form is used here. As usual, code works in terms of fitness
values (higher better) results, however, are reported for the loss
values of actual interest. This code does not work with constraints
on theta values other than those directly associated with thetamax
and thetamin. -This program runs a GA. The roulette wheel method for parent
selection is used here. Elitism is included. Parent selection is
from the population including the elite chromosomes. The standard
bit form is used here. As usual, code works in terms of fitness
values (higher better) results, however, are reported for the loss
values of actual interest. This code does not work with constraints
on theta values other than those directly associated with thetamax
and thetamin.
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Size: 11264 |
Author: siva |
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Description: 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!
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Size: 8192 |
Author: 曾建 |
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Description: 此代码是实数编码遗传算法的Matlab例程。用了精英保留策略选择和轮盘赌选择法，叉操作采用中间重组方式。-This code is a real-coded genetic algorithm Matlab routines. Retention policies with the elite selection and roulette wheel selection method, fork operation mode using the middle of restructuring.
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Size: 2048 |
Author: 王巍 |
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Description: PROTEUS 7.1 新增功能
ISIS 部分：
全新的用户界面：
鼠标移动到对象上方时，会有可视化提示。
不同的鼠标指针类型显示该对象将进行的不同操作。
高效率非模态选择、布线。
便利的鼠标运用——左键选取、放置，右键提示菜单。
更加便捷的块操作方式，可调整选取区域及可定义的拾取点。
改进的鼠标滚轮的摇摆及缩放工具，使得设计导航操作更加便捷。-PROTEUS 7.1 new features ISIS Part I: The new user interface: the mouse to move to the top of the object, there will be visual cues. different types of the mouse pointer displays the object to be carried out different operations. high-efficiency non-modal options, wiring. to facilitate the use of a mouse- left button selection, placement, right-prompted menus. block mode of operation is more convenient, adjustable selected regional and definable pick up points. improved mouse wheel swing and zoom tools, allows designers to navigate easier.
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Size: 124928 |
Author: hhy |
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Description: 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.
-Binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but also introduces the inversion operation.
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Size: 3072 |
Author: lq |
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Description: 遗传算法求解TSP问题源代码，简单明了，采用轮盘赌进行遗传选择-TSP problem genetic algorithm source code is simple, using the genetic roulette wheel selection
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Size: 1024 |
Author: fan |
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Description: 实现简单的进化算法，实数编码，轮盘赌选择方式，单点交叉，均匀变异。-Simple evolutionary algorithms, real coding, roulette wheel selection method, single-point crossover, uniform mutation.
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Size: 5120 |
Author: cxx |
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Description: 两种赌轮算法比较，内容清晰，可直接在matlab上运行-Roulette wheel selection
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Size: 4096 |
Author: jifengzhu |
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Description: 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
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Size: 1024 |
Author: 小新 |
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Description: binary genetic algorithm and all its functions such as cross over, mutation, roulette wheel selection and tournament selection included
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Size: 3072 |
Author: kamal |
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Description: 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
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Size: 3072 |
Author: 王阳洋 |
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Description: GA 算法中 一种选中算法selection(Based on Roulette wheel selection
input is an array of any real number values)
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Size: 1024 |
Author: 恋雨梦阳
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