搜索资源列表
yj10
- 遗传算法 多目标的优化 是用GAOTV包做的-GA multi-objective optimization is done with the package GAOTV
GA
- matlab编写的遗传算法优化程序,采用随机配对交叉,多点交叉,两点交叉,编译对目标函数进行优化-matlab genetic algorithm to optimize the preparation procedures, using a random cross-matching, multi-point crossover, two cross-cutting, the compiler of the objective fun
IGA-gaotv5
- 免疫遗传算法IGA,可以求解多目标遗传优化、改进遗传优化-IGA
Gne
- 应用遗传算法对多目标问题的优化,matlab实现-Gne. algorithm
nsga2-v1.1
- 用C语言实现的改进遗传算法,主要用于非线性多目标函数的优化。 -This code can be used in the multi-objective optimization.
my_ga_test1
- 该用matlab 实现的遗传算法可以用于多目标有约束优化,是我最近学习matlab时一个视频上讲的例子,视频在土豆网搜“matlab全局优化方法及应用”。希望多大家有用。-This genetic algorithm can be used to solve the multi-objective optimization.
a
- 基于遗传算法的多目标优化(包含单目标) MATLAB-Genetic algorithm
Adapting-GA
- 多目标遗传算法优化PID参数,是M文件。内容很详细,有需要的可以下载-this is matlab file ,it is for adpation GA for PID
SGA
- 遗传算法对单目标问题优化,采用实数编码,能对多峰多维函数进行求解,对较难收敛的f(x)=sum(100(x(i)-x(i-1))^2+(x(i-1)-1)^2)有较好的收敛结果,相信对开始学习遗传算法的很有帮助。-Genetic algorithm optimization of single objective, using real-coded, can solve multi-dimensional and multi-peak
GA
- 利用最基本的遗传算法解决多目标函数优化问题-using GA algorithm to solve multiobject optimization
Genetic
- 关键词:C# 遗传算法 多目标寻优 智能优化 欢迎大家交流学习-Keywords: C# genetic algorithm for multi-objective optimization of intelligent optimization welcome to share their knowledge
ga
- 基于遗传算法的多目标算法优化,包括程序的实现(Multi - objective Algorithm Optimization Based on Genetic Algorithm)
NSGA_2
- 用于多目标优化算法,即多目标优化遗传算法-非支配排序遗传算法(The NSGA - II algorithm)
遗传优化工具箱 - NSGA-II
- 改进的遗传算法,多目标优化算法,简单,快捷有效(Improved Genetic Algorithm)
多目标遗传算法matlab程序
- 多目标遗传算法,实现多目标优化,优化结束之后可用topsis方法进行选取(NSGA 2 ,After the optimization can be used topsis method to select)
centre
- 可针对多个目标函数应用多目标遗传算法实现稳定优化过程(Genetic optimization of multiple targets)
MA-NSGA-II-原始
- 基于多目标遗传算法的 两点路径规划求解方法。(route searching method based on Multi- objective optimization algorithm)
BP神经网络结合遗传算法用于提取工艺的多目标优化
- 结合BP神经网络的多目标规划算法,容易理解(neural networkverygood jdwo)
带约束的遗传优化算法
- 带约束的多目标遗传优化算法NSGA-II(Constrained Multi-objective Genetic Algorithms NSGA-II)
nsga2-master
- 可被用来解决目标函数冲突的多目标优化问题(Solving multi-objective optimization problems)