搜索资源列表
yj12
- 基于遗传算法的多目标优化的例子，是工具箱中的的例子-based on genetic algorithms multi-objective optimization example, the toolkit is an example
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
ZDT4
- 为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度
MultiobjectivebasedonGA
- 基于遗传算法的多目标优化，matlab开发-Based on genetic algorithm for multi-objective optimization, matlab development
GA-MIMO
- 基于遗传非常简单实用。算法的多目标优化方案, 用matlab程序编写,-Multi-objective genetic algorithm-based optimization scheme is very simple and practical. Programming with matlab
duomubiaoyouhua
- 基于改进后的遗传算法的多目标优化，提供容易读懂的m语言和较高的优化效率。-Based on the improved genetic algorithm of the multi-objective optimization, which provides an easy to read m language and high efficiency of optimization.
Mutip_obj_opt
- 一个多目标优化的程序，基于遗传算法编写的程序，经过测试，可用。-A multi-objective optimization procedures, GA
YICHUANSUANFA
- 基于遗传算法的多目标函数优化在matlab中的实现，主要内容就是源代码-Based on genetic algorithm for multi-objective optimization in matlab to achieve, the main content is the source code
GA2
- 程序6：遗传算法工具箱使用例子； 程序7：多种群遗传算法的函数优化； 程序8：基于量子遗传算法的函数寻优； 程序9：基于遗传算法的多目标优化算法； 程序10：基于粒子群算法的多目标搜索算法-Program 6: examples of the use of genetic algorithm toolbox Program 7: multi-population genetic algorithm function optimization Program 8: a func
GA_MP
- 基于并行方法的遗传算法求解多目标优化问题的matlab程序，可作为多目标学习-Parallel genetic algorithm for solving multi-objective optimization problem based method matlab program can learn as a multi-objective
NSGA2-MATLAB-Codes
- nsga2算法实例，用于多目标优化,基于pareto排序以及共享函数的多目标遗传算法-An example of NSGA2 algorithm, for multi objective optimization
mtlab
- 基于遗传算法的多目标函数优化问题的一种有效方法-An effective method for multi-objective optimization problem based on genetic algorithm function
DZGA
- 基于多种群的遗传算法目标函数优化，达到最优的收敛速率-Based on multi-population genetic algorithm optimization objective function, optimal convergence rate
9nodes
- 基于量子遗传算法的电力系统多目标无功优化文件，基于matpower平台。-Multi-objective reactive power based on quantum genetic algorithm optimized file system, based on matpower internet.
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)
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)
genetic algorithm
- 基于多目标网络优化问题，运用改进的遗传算法，进行算法寻优，以求运用最短时间，达到最高精度(Based on the multi-objective network optimization problem, the improved genetic algorithm is used to optimize the algorithm in order to achieve the highest accuracy by the shortest time.)