搜索资源列表
nsga3cpp1.1
- NSGA-III遗传算法，实现超多目标优化-NSGA-III algorithm, ultra-multi-objective optimization
GA_cSharp
- 遗传算法C#代码，主要是解决多目标优化问题。只是算法的基本实现- Genetic Algorithm C# code, mainly to solve the multi-objective optimization problem. Just basic implementation of the algorithm
nsga2code
- 一个关于多目标优化算法的程序，经典遗传算法求解多目标优化问题源码-Classical genetic algorithm for solving multi-objective optimization problem source
duomubiao--matlab
- matlab中多目标优化函数集合，其中有多目标遗传算法，多目标粒子群算法等等。-matlab multi-objective optimization function set, including multiple objective genetic algorithm, multi- objective particle swarm optimization and so on.
nsga2-MOP
- 自己编的一段程序 可用于多目标优化 算法为遗传算法 亲测可以运行 -Own a program for multi-objective optimization algorithm GA pro-test can be run Thanks
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
PID
- 应用多目标遗传算法优化对PID参数进行多目标优化-Multiobjective genetic algorithm optimization of multi-objective optimization PID parameters
01-NSGA-II
- 一个多目标优化遗传算法matlab源代码-a nsga2 matlab code
MultiObjectOpt
- 该程序是利用遗传算法处理实验数据，利用多目标优化的方法确定实验图像的特征参量，对于实验分析确定参数方面的工做具有参考意义。-The program is to use genetic algorithm to deal with the experimental data, by using the method of multi-objective optimization determine the experiment image
Bi-level-programming-model
- 双层规划模型，遗传算法，多目标优化，源代码-Bi-level programming model of basic Matlab source code
yichuansuanfa
- 用于单目标优化的遗传算法，可以适当修改成多目标优化的程序-genetic algorithm
NSGAv2-master
- 基于遗传算法的多目标优化程序代码，比NSGAv2是基于第一代的优化-Genetic algorithm based on the multi-objective optimization program code, than the NSGAv2 is based on the first generation of optimization
NSGA_2
- 一种多目标优化的遗传算法实现过程，核心在于应用了一种优化的排序方法-A multi-objective optimization of genetic algorithm to achieve the process, the core is the application of a sort of optimization method
GA-vrp
- 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy
6877
- 采用累计贡献率的方法，遗传算法无功优化，多目标跟踪的粒子滤波器。- The method of cumulative contribution rate Genetic algorithm based reactive power optimization, Multi-target tracking particle filter.
3
- 目前的多目标优化算法有很多，Kalyanmoy Deb 的 NSGA-II（Nondominated Sorting Genetic Algorithm II，带精英策略的快速非支配排序遗传算法）无疑是其中应用最为广泛也是最为成功的一种。MATLAB 自带的 gamultiobj 函数所采用的算法，就是基于 NSGA-II 改进的一种多目标优化算法（a variant of NSGA-II）。gamultiobj 函数的出现，为在 MA
nsga2code
- C语言开发的基于基因遗传算法进行多目标优化设计-C language development based on genetic genetic algorithm for multi-objective optimization design
multiobjectiveoptimization
- 遗传算法代码， 由 matalb编写 多目标优化遗传算法求解(Genetic algorithm code, written by MATALB. Multi-objective optimization genetic algorithm)
NSGA-II
- 本程序是关于基于非支配排序遗传算法2的matlab程序，用于求解多目标优化问题的非支配解。(The non-dominated solutions of multi-objective optimization problems)
GAmatlab
- 多目标优化，遗传算法，适合于研究多目标优化(matlab genetic algorithm for multi-objective optimization, dual-objective optimization)