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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.
NSGAII.rar
- 实现遗传算法（GA）的多目标优化算法：NSGA-II的MATLAB程序,The realization of genetic algorithms (GA) of the multi-objective optimization algorithm: NSGA-II of the MATLAB program
MOEA-NSGA-II.rar
- NSGA-II多目标优化的matlab代码,NSGA-II multi-objective optimization matlab code
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
NSGA2-dynamic
- 多目标优化进化算法目前公认效果收敛性最好的算法NSGA2c++源码,具有一般性，可在此基础上继续改进，对实现其他多目标优化算法很有帮助.-Multi-objective optimization evolutionary algorithm is currently the best recognized effect of convergence of the algorithm NSGA2c++ Source, with the general, could be on this basis
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)
Standard_evolutionary_algorithm_design_and_analysi
- 为了有效检测多目标优化进化算法的性能，从3 个方面进行多目标优化测试问题的设计，即约束条件、最优解分布的均匀性、算 法逼近Pareto 最优前沿的难度，采用NSGA-Ⅱ算法对这些测试问题进行仿真实验，并将算法求得的最优解可视化。结果显示，测试问题能够有效检测算法在上述3 方面的性能。-In order to effectively detect the multi-objective optimization evolutionary algorithm performance, from
NSGA-II
- 多目标优化经典算法之一，NSGA2算法，用Matlab写的，好好学一下-One of the classical multi-objective optimization algorithm, NSGA2 algorithm, written using Matlab, a good school look
MOEA-NSGA-II
- NSGA算法是遗传算法在多目标优化上的实现，NSGA-2则是NSGA算法的改进算法，该程序包能实现NSGA-2的多目标优化-NSGA algorithm is a genetic algorithm on a multi-objective optimization, NSGA-2 is the improved algorithm NSGA algorithm, the package can achieve multi-objective optimization NSGA-2
NSGA-II
- 本程序是关于基于非支配排序遗传算法2的matlab程序，用于求解多目标优化问题的非支配解。(The non-dominated solutions of multi-objective optimization problems)
nsga
- NSGA2优化算法Matlab求解多目标优化问题,欢迎下载学习(NSGA2 optimization algorithm Matlab to solve multi-objective optimization problem, welcome to download and learn)
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
- 多目标优化问题，文献参考，A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization(multi-object optimization)
NSGA-II
- matlab实现的多目标优化遗传算法代码。可输出结果并画图。(The matlab program of NSGA-II.)
NSGA
- 轻松实现多目标优化，本文件自主设计，MATLAB平台实现(Easy implementation of multi-objective optimization, this document is designed independently.Implementation of MATLAB platform.)
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 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.)
NSGA-II-Matlab-master
- 针对带有约束条件的多目标函数，进行多目标参数优化(For the multi-objective function with constraints, the optimization is carried out)