搜索资源列表
NSGA-II
- 演化、遗传计算方法NSGA2的源代码-evolution, genetic method NSGA2 the source code!
MOEA-NSGA-II
- 基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-evolutionary algorithm based on the multi-objective optimization to written Matlab program, please refer to reference
31767670nsga2_c_source
- nsga2_c多目标优化算法：NSGA-II算法-nsga2_c multi-objective optimization algorithm: NSGA-II algorithm
MOEA-D-Continuous
- 多目标优化程序，国际顶级期刊IEEE EC 经典算法-multi-objective optimization algorithm presented in journal of IEEE trans
NSGA-II
- It s NSGA-II with code in C for scheduling problems
NSGA-II
- 这是一个用matlab编写的NSGA2标准程序，对初学多目标算法的人很有帮助。-This is a the NSGA2 standard procedures beginner multi-objective algorithm using matlab helpful.
NSGA-II
- 运行数据是吸纳粒子群算法的精华，是先多目标优化。-Run data to absorb the essence of the particle swarm algorithm is the first multi-objective optimization.
me1
- NSGA=ii code for multiobjective pi controller
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