搜索资源列表
nsga-original
- 原始非支配多目标遗传算法，适用于多个目标函数的输入，多个变量的输入，非常经典的，基于非支配解排序。-original non-dominant multi-objective genetic algorithm applied to a number of objective function input, a number of input variables. very classic, based on the non-dominant solution ranking.
MOSGA1
- 基于ＮＳＧＡ方法的多目标遗传算法程序,本程序为通用包,可自行修改.-NSGA method based on multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.
PlatEMO
- 多目标优化算法平台，内涵多种遗传算法和进化算法，图形界面，算法齐全并且最新的，时间：2017-5-10(Multi objective optimization algorithm platform, the connotation of a variety of genetic algorithm and evolutionary algorithm, graphical interface, algorithm is complete and up-to-date, time: 2017-5
MATLAB
- 此算法根据针对一个具有多变量以及复杂约束的多目标问题，采用向量评估遗传算法进行求解(Aimed at a problem with multiple variables and complicate constraints, the vector evaluation genetic algorithm is adopted)
（多目标排序）数值大的具有支配权
- 进行多目标排序的遗传算法，数值大的具有优先权。(A genetic algorithm for multi-objective sorting, with numerical priorities.)
（多目标排序）数值小的具有支配权
- 进行多目标排序的遗传算法，数值小的具有优先权。(Genetic algorithm for multi-objective sorting, the value of a small priority.)
chapter9 基于遗传算法的多目标优化算法
- chapter9 基于遗传算法的多目标优化算法(Chapter9 multi objective optimization algorithm based on genetic algorithm)
遗传算法实例
- Matlab遗传算法实例，可实现一元多峰函数优化、多元单峰函数优化、多元多峰函数优化，多目标优化(Example of Matlab genetic algorithm. It can realize one variable multimodal function optimization, multiple variable function optimization, multivariate multimodal function optimization, multi-objectiv
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)
GA多目标约束问题
- 遗传算法主要用于多目标约束问题中，非常简单(GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a potential set of solutions to a p
免疫优化算法在物流配送中心选址中的应用
- 主要用于用遗传算法解决多目标优化的VRP问题(the program is often used to solve VRP)
PlatEMO
- 多目标优化算法平台，内涵多种遗传算法和进化算法，图形界面，算法齐全并且最新的(Multi objective optimization algorithm platform, the connotation of a variety of genetic algorithm and evolutionary algorithm, graphical interface, algorithm is complete and up-to-date)
jnsga2-1.1-src
- 粒子群多目标优化，遗传多目标，作者jmetal,我想下载粒子群多目标啊，为什么非要打这么多字啊，难受啊.......................................(Particle group multi-objective optimization, genetic multi-objective, author jmetal, I want to download particle group multi-objective ah, why do I have to hit
NSGA-II
- matlab实现的多目标优化遗传算法代码。可输出结果并画图。(The matlab program of NSGA-II.)
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)
BPR MATLAN
- 多层编码免疫遗传算法实现多目标生产调度问题(Multilevel Coded Immune Genetic Algorithms for Multi-objective Production Scheduling Problem)
nsga2code
- 对多目标遗传算法进行解析，基于多目标协同优化算法编写的遗传算法程序，具有很好的收敛性，提供了相应测试算例。(Analyzing multi-objective genetic algorithm, the genetic algorithm program based on multi-objective cooperative optimization algorithm has good convergence, and provides corresponding test example
基于遗传算法的多目标优化
- Matlab源码，通过非支配排序NASA-II,实现通过遗传算法求解多目标优化。
NSGA-II多目标优化算法matlab程序
- 遗传算法程序NSGA2，关于移动机器人路径规划。(Matlab program of path planning based on NSGA2 genetic algorithm)
nsga2多目标遗传算法C语言
- 程序功能：实现nsga2算法，测试函数为ZDT1,ZDT2,ZDT3,ZDT4,ZDT6,DTLZ1,DTLZ2 说明：遗传算子为二进制竞赛选择，模拟二进制交叉和多项式变异，使用C语言