搜索资源列表
NSGA-II
- NSGA原代码，很多人在找这个，对搞智能优化很有帮助
NSGA-II多目标规划代码（matlab版）
- 印度Deb教授开发的Non-dominating Sorting Genetic Algorithm的改进版本，非常适合parato封面逼近运算。
nsga2code-from-Deb 经典的多目标优化NSGA-II算法
- 经典的多目标优化NSGA-II算法，来自Deb教授的实验室网页，非常有用-Classical multi-objective optimization algorithm NSGA-II, from the laboratory of Professor Deb pages, very useful
nsga2_c_source.rar
- 实现遗传算法（GA）的多目标优化算法：NSGA-II算法。,The realization of genetic algorithms (GA) of the multi-objective optimization algorithm: NSGA-II algorithm.
nsga-ii
- nsga-2多目标优化经典算法，有图并亲测已经跑通，供初学者学习(NSAG-2 multi-objective optimization of the classic algorithm, there are diagrams and pro test run, for beginners to learn)
NSGA-II-matlab
- 多目标遗传算法，降低了非劣排序遗传算法的复杂性，具有运行速度快，解集的收敛性好的优点(NSGA-|| algorithm Pareto)
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)
NSGA-III
- 用matlab实现的多目标进化NSGA-3算法，直接修改目标函数后即可使用，十分有用(The multi-objective evolutionary NSGA-3 algorithm implemented by Matlab can be used directly after modifying the objective function, which is very useful.)
NSGA-II-中文翻译
- nsgaⅡ论文的中文翻译，希望能对学习者有帮助(NSGA II Chinese translation of the paper, hoping to help learners.)
A-NSGA-III
- 新版改进NSGA算法A-NSGA-III，用于软件仿真平台对比于MOEA/D,PSO等多种算法。(The new version of improved NSGA algorithm a-nsga-iii is used for software simulation platform comparison with MOEA/D,PSO and other algorithms.)
NSGA-III
- 测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了
NSGAⅡ
- 利用NSGAⅡ算法处理多目标优化问题，测试函数包括ZDT1,2,3; DTLZ1,2,3。包含测试函数的真实前沿面数据。(NSGA II algorithm is used to deal with multi-objective optimization problems. The test functions include ZDT1,2,3 and DTLZ1,2,3. Contains the real frontier data of the test function.)
NSGA-II
- NSGA-ii算法，一种基于拥挤度的非支配排序遗传算法(NSGA-ii algorithm, a non-dominated sorting genetic algorithm based on congestion degree)
NSGA-II源程序
- MATLAB智能算法NSGA-II可实现，亲测可用(The intelligent algorithm NSGA-II of MATLAB can be realized and the pro-test can be used.)
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.
NSGA-II for Scheduling
- 利用Matla编写的NSGA-II算法，用于求解车间调度的多目标问题(The NSGA-II algorithm written by Matla is used to solve the multi-objective problem of job shop scheduling.)
YPEA120 NSGA-II
- NSGA-II的MATLAB代码，直接运行main.m文件就行，建议最好有matlab的基础(Matlab code of NSGA-II,The matlab code of NSGA-II, just run the main. M file directly, it is recommended to have the basis of MATLAB)
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)
choxiao-NSGA-II
- 测试nsga2的优化性能,包含zdt系列、sch系列，支持三个目标下的约束求解(NSGA-II TEST,including zdt series,sch series and is okay for a 3-dimensional minimization problem.)