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
NSGA-thesis
- 有关NSGA算法的优秀硕士论文，和大家一起分享-The NSGA algorithm is an excellent master' s thesis, and to share with everyone
NSGA-II
- 用来优化多目标问题的NSGA_II算法。-NSGA_II algorithm used to optimize multi-objective problem.
NSGAIIQQ
- 此為非凌駕排序基因演算法 NSGA-II，為求解多目標演算法，有用到資料庫即OPEN CV-This non-sorting genetic algorithm overriding NSGA-II, for solving multi-objective algorithm, that is useful to the library OPEN CV
nsga2code
- 非支配遗传算法NSGA-II code大家一起学习，包括头文件源文件-We will study together NSGA NSGA-II code, source files include the header file
MOEAFramework-master
- 多目标进化算法框架，包括MOEAD、NSGA2等经典多目标进化算法。-The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose multiobjective optimization algorithms. Th
NSGA-II
- NSGA-2，带精英策略的进化算法，功能全面，涉及文件操作。这为另外一个版本(NSGA-2, an evolutionary algorithm with elitist strategies, is comprehensive and involves file operations.This is for another version)
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)
NSGA-II FOR C++
- NSGA-II, 多目标遗传算法，适用于C/C++平台(NSGA-II A multi-objective optimization algorithm)
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)
NSGA-II-master
- 在Python中利用遗传算法进行目标优化的程序代码(Using Genetic Algorithms for Target Optimization in Python)
多目标NSGA
- NSGA（非支配排序遗传算法）、NSGA-II（带精英策略的快速非支配排序遗传算法），都是基于遗传算法的多目标优化算法，是基于pareto最优解讨论的多目标优化。(NSGA (Non-dominated Sorting Genetic Algorithms) and NSGA-II (Quick Non-dominated Sorting Genetic Algorithms with Elite Strategy) are multi-objective optimization algori
NSGA-III
- 新一代nsga算法源代码，其中包含详细的代码及说明。(Jan and Deb, extended the well-know NSGA-II to deal with many-objective optimization problem, using a reference point approach, with non-dominated sorting mechanism. The newly developed algorithm is simply called: NSGA-III.
混合NSGA-Ⅱ算法求解多目标柔性作业车间调度问题
- 混合NSGA-Ⅱ算法求解多目标柔性作业车间调度问题(Hybrid NSGA -II algorithm for multi-objective flexible job shop scheduling)
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)