搜索资源列表
Papers(NSGA2)
- 包含多目标遗传算法相关论文，对于深入了解NSGA及NAGA2算法有一定帮助-Multi-objective genetic algorithm that contains the relevant papers, for a deeper understanding and NSGA algorithms NAGA2 certainly be of help to
ga
- 基于遗传算法的，可以用来求解多目标优化的程序源码-Based on genetic algorithms can be used to solve multi-objective optimization procedure source
Multiobjectvie-Genetic-Algorithm
- 有关多目标优化问题的遗传算法的基本理论方法的硕士论文，相关领域的大家可以参考一下-Multi-objective optimization problems related to genetic algorithms basic theories and methods of the master' s thesis and related fields that we can reference
9
- 给予免疫遗传算法的QOS路由选择问题，给予免疫遗传算法的多目标优化问题-Immune genetic algorithm for QOS routing problem, the immune genetic algorithm for multi-objective optimization problem
MOGASC
- 用Matlab实现多目标遗传算法的源代码-Multi-objective genetic algorithm source code
moea
- matlab遗传算法多目标优化，双目标函数优化-matlab genetic algorithm for multi-objective optimization, dual-objective optimization
NSGA2
- 包含多目标遗传算法于深入了解NSGA及NAGA2算法有一定帮助-Includes multi-objective genetic algorithm NSGA and NAGA2 in-depth understanding of a certain algorithm to help
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)
遗传算法求解
- 多个设计参数下以两目标函数采用遗传算法优化进行择优(Multi parameter, two objective function, genetic algorithm, optimization)
chapter9基于遗传算法的多目标优化算法
- 遗传算法的MATLAB编程，MATLAB源程序(Genetic algorithm MATLAB programming, MATLAB source code)
（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.)
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)
多目标优化（遗传算法）
- 多目标优化算法，遗传算法，函数求最大值、最小值问题。(Multi-objective optimization algorithm, genetic algorithm, function for maximum value, minimum value problem.)
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)
MA-NSGA-II-原始
- 基于多目标遗传算法的 两点路径规划求解方法。(route searching method based on Multi- objective optimization algorithm)
GA多目标优化问题
- 采用遗传算法进行多目标优化问题的求解，具体为两个目标优化问题(genetic algorithm solve multi-objective 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
遗传算法多目标优化模板
- 利用geatpy库是实现多目标优化， 基于改进NSGA-Ⅱ算法求解多目标优化问题的进化算法模板，传统NSGA-Ⅱ算法的帕累托最优解来只源于当代种群个体，这样难以高效地获取更多的帕累托最优解，同时难以把种群大小控制在合适的范围内，改进的NSGA2整体上沿用传统的NSGA-Ⅱ算法，不同的是，该算法通过维护一个全局帕累托最优集来实现帕累托前沿的搜索，故并不需要保证种群所有个体都是非支配的。(Using geatpy library to realize multi-objective optimiza
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)