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
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
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.zip
- matlab实现最优化选择的一个算法，大家可以下下来参考，我也是从别处down的，谢谢原作者,matlab optimize the choice of an algorithm, we can refer to the next down, I am also down elsewhere, thank you, original author
NSGA-II
- 实现了多目标遗传算法NSGA2，并带有详细注释及相关论文，读者只需根据具体问题简要修改，即可使用。-Achieved a multi-objective genetic algorithm NSGA2, with detailed notes and related papers, the reader just a brief specific issues in accordance with changes to use.
NSGA-IIprato
- 一个matlab环境下编制的使用很方便的多目标程序-The preparation of a matlab environment is very convenient to use multi-objective procedure
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
MOEA-NSGA-II
- genetic algorithm, simulated annealing, singleobjective, particle swarm optimi..., optimization, classes
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)
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.)
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.)
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.)