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NSGA-II.非常强大的多目标遗传算法
- NSGA-2 一种非常强大的多目标遗传算法,本人已经把它调通.,NSGA-2 a very strong multi-objective genetic algorithm, I have to tune it pass.
MOEA-NSGA-II.zip
- 多目标遗传算法通用编程包，是解决复杂多目标问题的通用程序,MOEA-NSGA
MOEA-NSGA-II.rar
- NSGA-II多目标优化的matlab代码,NSGA-II multi-objective optimization matlab code
NSGA-II
- MATLAB的NSGA改进后的算法-MATLAB' s NSGA improved algorithm
NSGA-II
- NSGA-II遗传算法的文档，里面的内容比较好理解，是学习遗传算法的必备知识-Genetic Algorithm NSGA-II of the document, which is better understanding of the content is a genetic algorithm to learn the knowledge necessary
NSGA-II
- NSGA-II源程序,用于求解多目标优化问题，是对NSGA在非支配集构造方法，维持解分布性策略等方面进行的改进。-NSGA-II source code for multi-objective optimization problem, NSGA is a non-dominated set in the constructor, maintenance solutions and other aspects of the distribution strategy of improvement
NSGA-II(2000)
- 这是多目标优化问题的经典文章，值得研究。A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)-A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)
NSGA
- 这是一个nsga的应用问题。算法可能不是最优的。-application of nsga
NSGA
- NSGA 遗传算法，K.Deb NSGA 遗传算法，K.Deb亲自编写的原始程序-K.Deb
NSGA-II
- 外国人编写的有用的 NSNA-II程序有详细的文档说明-NSGA ( [5]) is a popular non-domination based genetic algorithm for multi- objective optimization. It is a very e® ective algorithm but has been generally criticized for its computational complexity
NSGA-IIMATLAB
- NSGA-II 效果很好 很多人里面的交叉变异都有误解 对刚接触多目标的人很有用处-NSGA-II works well inside the crossover and mutation, many people have a misunderstanding of the goals of people new to many useful
NSGA-II
- 算法实现完整代码，非支配排序，拥挤距离排序(NSGA-II complete no-dominated sort and corwding distance sort you can use your algorithm to improve your algorithm)
nsga-ii.rar
- 这个是关于nsga-ii的代码，有兴趣的可以看一下，，，(this is the code of nsga-ii)
NSGA-II完整版
- NSGA-II完整版代码 包括 非支配排序和聚集距离的计算(NSGA-II code Including the calculation of non-dominated ordering and gathering distance)
NSGA-2 MATLAB自带函数
- 利用MATLAB自带函数Nsga-2 优化程序(NSGA-2 matlab function)
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)
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.)