搜索资源列表
MOEA-NSGA-II
- 多目标优化进化算法目前公认效果收敛性最好的算法NSGA2源码，内有多目标算法的工具箱，对实现其他多目标优化算法很有帮助
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。
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(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)
MOEA
- 多目标进化算法，思想主要是印度学者的NSGA-2 用于处理多目标实值优化问题-muliti-objective evolution
NSGA-II
- 本程序用于多目标优化的基因算法求解。可应用于不同领域的优化计算。-This code is Genetic Algorithm for Multi-objective optimization. It can be used to solve optimization problems in many areas.
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-2
- NSGA-2的源程序,经典的多目标优化算法，对于学习多目标优化算法很有帮助。-The source program of NSGA-2，the classical multi-objective optimization algorithms,it is helpful to learning the multi-objective optimization.
Evolution-Algorithm
- 本代码在NSGA-II中引入进化策略的多目标优化程序，能够找到绝大多数目标函数的最优前沿，用多个标准化测试函数测试，程序优化结果都非常好-This code is introduced in NSGA-II multi-objective optimization evolutionary strategy program that can find the optimal frontier majority of the objective function with multiple sta
NSGA-II
- 本程序为遗传算法工具箱，对单目标多目标都能进行优化，并附有算法说明。-This procedure for the genetic algorithm toolbox for single-target multi-objective optimization can be carried out, together with the algorithm descr iption.
NSGA-II
- 用于多目标优化的遗传算法NSGA-II，基于Matlab编写-a multi-objective optimization function where the input arguments are pop- Population size gen- Total number of generations
NSGA-II(matlab程序)
- 基于多目标优化的遗传算法，非常适合parato逼近运算
NSGA2
- 基于非支配排序的带有精英策略的多目标优化算法:NSGA-II,测试函数是DTLZ-Based on the non-dominated sorting multiobjective optimization algorithm with elitist strategy: NSGA-II, the test function is DTLZ
NSGA-II_20140417
- 遗传算法多目标优化的一个版本，内容包括源程序和NSGA-II工程包nsga2code使用手册- A version of the genetic algorithm for multi-objective optimization, including source code and NSGA-II project package nsga2code Manual
PICEAgMATLAB
- PICEA-g是一种有效智能多目标优化算法，算法性能，特别是在高维多目标优化问题上，优于传统的NSGA-II以及MOEA/D算法。并且算法无需额外的参数设置，简单易用。 -PICEA-g is a competitive multi/many-objective optimizer. Its performance is better or comparable to the state-of-the-art algorithms such as NSGA-II and MOEA/D on
NSGA 2程序
- 本算法为一查算法实行多目标优化的程序 可以根据自己问题 修改变量数目 目标数目实现优化
Multi-objective-evolutionary
- NSGA的源程序，是多目标进化算法的智能算法，可用于多目标优化与决策等方面的计算(NSGA source, multi-objective evolutionary algorithm intelligent algorithm can be used to calculate other multi-objective optimization and decision-making)