搜索资源列表
nsga_2
- 基于非支配排序遗传算法处理多目标优化的matlab例程,可以自行修改-Based on NSGA handling multi-objective optimization of Matlab routines, can make its own decisions
非支配排序遗传算法
- NSGA-II 相对于NSGA而言，NSGA—II具有以下优点：1)提出新的基于分级 的快速非胜出排序算法，将计算复杂度由 降到 ，其中： 表示目标函数的数目， 表示种群中个体的数目；2)为了标定分级快速非胜出排序后同级中不同元素的适值，也为使准 域中的元素能扩展到整个 域，并尽可能均匀遍布，文献[7]提出了拥挤距离的概念，采用拥挤距离比较算子代替需要计算复杂的共享参数的适值共享方法；3)引入了保优机制，扩大了采样空间，经选择后参加繁殖的个体所产生的后代同其父代个体共同竞争来产生下一代种群，因
nsga2_c_source
- 用C++语言写的非支配排序遗传算法的例子，顶！-Written in C++, the non-dominated sorting genetic algorithm for example, the top!
NSGA
- nsga2非支配排序遗传算法，c++源码实现-nsga2 non-dominated sorting genetic algorithm, c++ source code to achieve
nsga2
- 基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting genetic algorithm (NSGA-Ⅱ) the
mo-nsga-deb
- 改进的非支配排序遗传算法，求解多目标问题-non dominated sorted algorithm II for multiple objective problem
code
- 带精英策略的非支配排序遗传算法，c源代码。-This is a GA implementation for multi-objective optimization. For multi-objective optimization, non-domonated sorting has been used.
NSGA-IIa
- 这是prof.kalyanmoy deb 和他的学生开发的非支配排序遗传算法。-This program is the implementation of the NSGA-2 proposed by Prof. Kalyanmoy Deb and his students .
naga2.file
- 带精英策略非支配排序遗传算法的应用实例。-The control strategy with elite sort of genetic algorithm, the application example.
Multi-objective-NSGA-code-in-C
- 非支配排序遗传算法，用来求解多目标优化问题-Non-dominated sorting Genetic Algorithm for Muti-objective problem,
NSGA-II
- matlab环境下实现的非支配排序遗传算法（NSGA-II），该算法在快速找到Pareto前沿和保持种群多样性方面都有很好的效果-matlab environment to achieve non-dominated Sorting Genetic Algorithm (NSGA-II), the algorithm quickly find the Pareto frontier and maintaining the diversity of the population has a goo
NSGA
- 工业中，用于换热网络优化的非支配排序遗传算法源程序-In industry, the non dominated sorting genetic algorithm is used to the optimization of the heat exchanger network
NSGA-II
- NSGA-II非支配排序遗传算法，可避免陷入局部最优，属于全局算法-NSGA-II non dominated sorting genetic algorithm, can avoid falling into local optimal, belong to the global algorithm
NSGA-II
- 非支配排序遗传算法MATLAB代码实例，用于非支配排序遗传算法优化-Non-dominated Sorting Genetic Algorithm MATLAB code examples for non-dominated sorting genetic algorithm optimization
GAgaijin
- 该程序是基于非支配排序遗传算法改编的实用型算法，该算法收敛速度快而且能够避免收敛在局部最优非常好用-The program is based on the practical non-dominated Sorting Genetic Algorithm algorithm adapted the algorithm converges faster and can avoid local optimum convergence in very handy
NSGA-II-in-MATLAB
- 带精英策略的非支配排序遗传算法matlab 源码-Non- Dominating Sorting Algorithm
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 MATLAB 平台下解决多目标优化问题提供了良好的途径。gamu
nsga_2
- 基于非支配排序遗传算法处理多目标优化的matlab例程(A matlab routine for multiobjective optimization based on nondominated sorting 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)
非支配排序遗传算法
- 非支配排序遗传算法NAGS2，算法程序进行了相应的注释，可以运行(Non dominated sorting genetic algorithm NAGS2, algorithm procedures for the corresponding notes, you can run)