搜索资源列表
yichuansuanfa
- 遗传算法,基因突变函数,交叉函数,二进制转十进制,十进制转二进制-Genetic algorithms, function mutation, crossover function, binary to decimal, decimal to binary
Genetic-Algorithm
- 遗传算法,二进制编码,单点交叉,随即变异-Genetic Algorithm. The single-point crossover and the random variation were used
hunheyichuansuanfa
- 包含精英保留策略的二进制/十进制可选择遗传算法编码-Elitist strategy contains binary/decimal coding genetic algorithm to select
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
water-hydraulic-calculation
- 雨水水力计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,变异操作算,解决雨水管网优化与设计问题。-water hydraulic calculation
BPSO-and-GA
- 使用粒子群算法和遗传算法求取简单函数的极值,代码将两个算法糅在一起写的,遗传算法又含有二进制码和格雷码编码方式。-The use of particle swarm optimization and genetic algorithm to strike a simple function of the extreme, the code will be melted together to write two algorithms, genetic algorithms and contain
code
- 这是我自己编写的二进制频谱分配算法的代码,分别用粒子群算法和遗传算法实现.-spectrum allocation code for PSO and GA
decode
- 应用遗传算法进行配电网故障后恢复重构,采用二进制编码对重构后结果进行解码的程序-After the application of genetic algorithms reconstruct distribution network fault recovery, using binary encoding to decode the results after reconstruction program
single
- 二进制单变量遗传算法,变量为一维,适合初学者-Univariate binary genetic algorithm
multiple
- 二进制多变量遗传算法,变量为多维,适合拓展对遗传算法的认识-Binary multivariate genetic algorithms, multidimensional variables for expanding knowledge of the genetic algorithm
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
2014732
- 遗传算法中的初始化,把数转为二进制代码,及其代码的还原,及其交叉操作。-Genetic algorithm initialization, the number into binary code, and the reduction of the code, and the crossover operation.
lzyc
- 量子遗传算法!取代了传统遗传算法的二进制编码,浮点型编码,整数型编码,使用量子计算与遗传算法结合,使用量子位编码-Quantum genetic algorithm! Replacing the traditional binary-coded genetic algorithm, float coding, integer coding, the use of quantum computation and genetic algorithms, using a quantum bit enc
gatbx
- 遗传算法是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题,一定数量的候选解(称为个体)的抽象表示(称为染色体)的种群向更好的解进化。传统上,解用二进制表示(即0和1的串),但也可以用其他表示方法。进化从完全随机个体的种群开始,之后一代一代发生。在每一代中,整个种群的适应度被评价,从当前种群中随机地选择多个个体(基于它们的适应度),通过
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
GA-taylor-Fortran
- 采用二进制编码,实现遗传算法功能,并添加了泰勒幅度激励这一功能 -Binary coding, Genetic algorithms function, and Taylor added incentive of this magnitude function
C-language-source
- 二进制编码的简单遗传算法源程序(c语言)-Simple binary coded genetic algorithm source code (c language)
Realcoded
- 二进制编码和实数编码的遗传算法,代码非常详尽,略有难度。-Binary coding and real-coded genetic algorithm, very detailed.
example1
- 选择二进制编码,利用遗传算法计算函数的最小值-calculate function minimum with genetic algorithm
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