搜索资源列表
AGAandLAGA
- 两种改进的遗传算法(自适应交叉概率的遗传算法,加入领域竞争策略的遗传算法)相比较的matlab程序,基于UCI的两个数据集,可直接运行程序观察效果。-both improved genetic algorithm (adaptive crossover probability of genetic algorithm, to field a competitive strategy of genetic algorithm) compared to the Matlab procedures,
GA.rar
- 一个动态遗传算法代码 matlab的,采用全方位的两点杂交、两点变异的改进的加速遗传算法(IAGA),A dynamic genetic algorithm matlab code, the use of comprehensive two hybrid, two variations of improved accelerating genetic algorithm (IAGA)
GA-FCM.rar
- 遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
GAToolbox.rar
- MATLAB遗传算法工具包,内含标准遗传算法各函数及改进遗传算子的实现函数。,MATLAB genetic algorithm tool kit, containing the standard genetic algorithm to improve the function and genetic operators of the implementation function.
GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码 模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
NicheSGA
- 改进的小生境遗传算法和源程序实现,metalab实现-Improved genetic algorithm
GA_Optimization-Scheduling_Matlab
- 通过MATLAB编程研究工作和仿真结果分析,对改进的免疫遗传算法进行综合性地概括、归纳和总结。在处理复杂优化调度问题方面提出了一些改进的思想,并进行了算法实现和仿真。对有待进一步深入研究的问题进行了设想,对免疫遗传算法解决相关优化调度问题进行了展望。-Research of ImProved Immune Genetic Algorithms and its Applications in Optimization Scheduling Problem
jsjy20070288
- :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。-: Genetic algorithm for the lack of easy to
matlab-Genetic_Algorithm
- 实现遗传算法的matlab仿真,并对原始的遗传算法做了改进-Genetic Algorithm
yizhgaijindeyic
- 一种改进的遗传算法程序,二进制编码的交叉算子,FloatExample和BinaryExample分别采用浮点编码和二进制编码方法-An improved genetic algorithm process, the binary-coded crossover operator, FloatExample and BinaryExample respectively floating point coding and binary coding method
GA
- MATLAB实现改进的遗传算法,体现该算法在MATLAB上实现的效果-MATLAB to achieve improved genetic algorithm, embodied in the algorithm to achieve the effect of MATLAB
GAbp
- 基于遗传算法改进的神经网络算法,可以广泛的应用于数据预测及数据分析-Improved genetic algorithm-based neural network algorithm can be widely used in data forecasting and data analysis
GeneticAlgorith遗传算法
- 本程序为遗传算法基本程序,略有改进,结果过程均有图示,可通过修改yichuanzhuhanshu.m来适应不同的实际问题,优化效果较优,可用来对遗传函数实现方法的学习
改进遗传算法求最大值程序
- matlab的改进遗传算法求最大值程序,main函数是主函数,其他3个是子函数。具体内容见代码注释(Matlab improved genetic algorithm for maximum value procedures, main function is the primary function, and the other 3 are sub functions. See the code for details)
ga
- 改进的遗传算法,主要用于求解柔性作业车间调度问题(The improved genetic algorithm is mainly used to solve the flexible job shop scheduling problem)
人工免疫遗传算法程序--改进的遗传算法
- 人工免疫遗传算法的matlab代码实现,实测可以出结果。(artificial immune genetic algorithm)
案例2
- 改进的遗传算法,非常好的程序,大家可以借鉴一下(Improved genetic algorithm, very good procedures, we can learn from)
genetic algorithm
- 基于多目标网络优化问题,运用改进的遗传算法,进行算法寻优,以求运用最短时间,达到最高精度(Based on the multi-objective network optimization problem, the improved genetic algorithm is used to optimize the algorithm in order to achieve the highest accuracy by the shortest time.)
量子遗传算法
- 量子遗传算法MATLIB的代码本程序,对量子遗传算法中的量子旋转门的调整策略进行改进(The code of the quantum genetic algorithm MATLIB The adjustment strategy of quantum revolving door in quantum genetic algorithm is improved.)
基于遗传算法matlab优化程序
- 改进型的GA,寻优速度快,可用用作电力系统潮流计算等方面。(The improved GA has fast optimization speed and no dimension disaster)