搜索资源列表
GA
- 遗传算法，包含选择，交叉，变异等操作，可求出Y=sin(x)在0-2π的最大值和最小值-Genetic algorithm, including selection, crossover and mutation operation, etc., can be obtained Y = sin (x) at the 0-2π Maximum and minimum
GeneticAlgorithmImagCutingUp
- 遗传算法MATLB图像分割程序及例子，希望对大家有用-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
5
- 继续上次传的简单遗传算法，本次加入啦变异部分。-Continue to the last mass of the simple genetic algorithm, mutation of this part of you to join.
6A_5016
- 一种基于双变异算子的遗传算法本文针对简单遗传算法(SGA)所存在的缺点和不足,提出了一种新的改进遗传算法-双变异算子GA。该想法通过将所有产生的子代个体与父代个体混合作为下一代种群，在种群选择前对适应度值较低的个体进行一次变异，然后通过选择，交叉，再一次变异产生新种群，再利用自适应算法改变交叉和变异率及最优保存策略保护历代最优个体, 经Visual C++ 软件编程计算,得到了较好的优化结果. -A mutation operator based on dual genetic algorith
GA
- 遗传算法的代码,可以仿照这个学习一下,希望有所帮助-GA is improved genetic algorithms and procedures, and providing a variety of cross-operator, mutation operator,
genetic_algorithm_matlab
- 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 operation
yichuansuanfachengxu
- 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
A_very_simple_genetic_algorithm_source_code
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交
matlab-SGACODE
- maltab遗传算法源程序，此程序为一个一个的小程序分开的，很完整。包括编码，设定初始种群，交叉，变异，及结束条件等-maltab genetic algorithm source code, this procedure a small as a separate process, it is complete. Including encoding, set the initial population, crossover and mutation, and the end conditi
qq
- 遗产算法的完整计算，包括交叉，变异，以及适应函数的计算-Heritage integrity of the computing algorithm, including the crossover and mutation, as well as the calculation of fitness function
yichaunsuanfa
- 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 operati
DataminingBasedonGeneticAlgorithms
- 本文提出了基于遗传算法的关联规则的提取方法，并从编码方法、适应度函数的构造、交叉算子和变异算子的设计等方面进行了详细都讨论和分析，并结合我校的智能型学生测评系统，给出了用遗传算法进行关联规则挖掘的实例。-This paper brings forward the algorithms based on the genetic algorithms of association rules,discusses and analyses the genetic algorithms in detai
vddbsga
- 基本遗传算法程序，使用的是单点交叉，基本位变异算子可以求出函数的最优解，。-Basic genetic algorithm, the use of a single-point crossover, the basic bit mutation operator function can be obtained optimal solution.
BinPacking
- 十一个不同的算法解决一个NP-Hard问题。 包括遗传算法GA, 爬山算法HC。 名称：K背包问题-10 Pop,Single Ally-Gene Mutation EA 10 Pop,2 Ally-Gene Mutation EA 10 Pop,10 Ally-Gene Mutation EA 10 Pop,20 Ally-Gene Mutation 10 Pop,100 Ally-Gene Mutation 100 Pop,Single Ally-Ge
xujinpeng3.14
- 用遗传算法求函数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、随机产生初始种群中的个体，求的最好解是24.689。注：本算法基于matlab7.0，是我自己编写的，每个步骤都有详细的说明。适用于遗传算法初学者。-Using genetic algorithms for function f = x+10* sin (5* x)+7* cos (4* x) the maximum points: a simple single-point
mat_dir
- 遗传算法matlab实现，很好的资源！模拟遗传算法的过程-mutation
adjswapMutation.
- Adjswap mutation performs a swap of two adjacent genes in a permutation
binaryMutation
- Binary mutation changes each of the bits of the parent based on the probability of mutation
MK
- fortran的突变检测源码,适合科研开发人员使用.-fortran source of mutation detection, suitable for use in research and development.
threeswapMutation
- Three swap mutation performs a three way swap of three randomly chosen genes in a permutation