搜索资源列表
GAp0
- 本源码提供二进制编码的遗传算法对多层膜的优化,已经通过编译。-source for the binary coding of the genetic algorithm optimization of multilayer has passed compiler.
JGA
- 实现一个函数的数值优化的遗传算法源代码,采用二进制编码实现,里面有详细的说明,非常适合初学者!-achieve a numerical optimization function of the genetic algorithm source code, binary coding achieved, There are detailed explanations, very suitable for beginners!
hex
- 该算法可以成功的实现二进制到十六进制的转换。可以做为编码的子程序使用
shannon
- //任意给定一个信源模型,编程实现其二进制Shannon编码,输出编码结果并给出译码过程。
Source_coding
- 对通信中的信源的二进制编码的实现,有香农编码,费诺编码以及霍夫曼编码-Source of communication in the realization of the binary code, there is the Shannon coding, coding, and Huffman coding Fenno
11
- 在vc环境下,用C++编二进制香农编码,安全-In vc environment, using C++ code compiled binary Shannon, security
decod
- 利用遗传算法求解函数极值, 主程序是对函数f(x,y)=x2+y2(-1<x<1,-1<y<1)求解最小值。decod.m 为子函数,实现二进制编码到十进制数的转换功能-Use of genetic algorithm for function extremum, the main program is the minimum value of the function f (x, y) = x2+ y2 (-1 <x <1,-1 <y <1) s
gray
- 格雷码生成 对于给定的正整数n,格雷码为满足如下条件的一个编码序列: (1) 序列由2n个编码组成,每个编码都是长度为n的二进制位串。 (2) 序列中无相同的编码。 (3) 序列中位置相邻的两个编码恰有一位不同。-Gray code are generated for a given positive integer n, the Gray code to meet a coding sequence of the following conditions: (1) sequences enco
GA
- 基本的遗传算法,两个参数,求解最大值.采用二进制编码编程-The basic genetic program
zhuanhuan
- 数据转换,信令点编码、十六进制转换十进制、十进制转换二进制、十六进制转换为二进制-Data conversion, signaling point code, sixteen hex decimal, binary decimal sixteen hexadecimal conversion to binary
algorithm
- 采用二进制编码遗传算法求函数最大值,有遗传算法的仿真程序-Genetic algorithms for maximum
Apriori
- 一种改进的aprior算法,用二进制的编码计算来取代传统算法的剪枝和联接操作,可以避免多次扫描系统和减少候选集,提高运算效率-An improved aprior algorithm, using binary coding calculations to replace traditional methods of pruning and join operations, to avoid repeated scanning system and reduce the candidate se
GA-fortran
- 遗传算法 二进制编码 可以分析阵列天线等多目标的优化问题-Binary-coded genetic algorithm optimization problems can be analyzed, such as multi-target array antenna
1
- 基于遗传算法的最小生成树算法很好解决了常用二进制编码不能正确表达最小生成树的问题,其优点是:求解过程简单清晰,形象直观,快速有效,易于编程,且具有更广泛的适用性,在求解多节点网络的最小生成树时更能体现其计算速度快的优越性。-The minimum spanning tree algorithm based on genetic algorithm is very good to solve the common binary code that can not correctly express
NSGA2-MATLAB-Codes
- nsga-2 实现多目标优化的算例利用简单的二进制编码进行遗传变异运算-nsga-2 An example of multi objective optimization