搜索资源列表
多目标优化
- spea2,一个多目标优化的代码
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
NSGAII.rar
- 用于多目标优化的程序，非常经典的NSGAII，在IEEEEC上引用频次超多,NSGAII for multiobjective optimization
jmetal.2.1.tar
- 关于多目标优化的代码，这个代码是一个框架，大家可以修改一下-Multi-objective optimization on the code, the code is a framework, we can make some corrections
f1
- 多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual
GA
- 这些是我最近搜集整理的关于遗传算法多目标优化方面的论文。与大家分享！适合对遗传算法有一定了解的读者。-These are my recent gathering on multi-objective optimization genetic algorithm papers. To share with you! Suitable for genetic algorithms have a certain understanding of readers.
MOEAD
- 基于微分的多目标优化问题，以子函数的形式写出的-Based on the differential of the multi-objective optimization problem in order to write the form of Functions
MOPandGA
- 使用强变异演化算法处理高维决策向量情况下的多目标优化问题-Strong variation of the use of evolutionary algorithms to deal with high-dimensional vector in decision-making in case of multi-objective optimization problem
igainmatlab
- 基于多目标优化的免疫遗传算法 在Matlab环境中的实现,期刊论文。-Multi-objective optimization based on immune genetic algorithm in Matlab environment, the realization of journal articles.
MOP
- 用神经网络解决多目标优化问题，其中学习算法用的是用BP学习算法-solve multiple optimization problem by neural network,using BP learning method
PAES-alba.tar
- 用于求解多目标优化问题，多目标进化算法源程序-The code for multi-objective optimization algorithm
implementationofCoevolutionaryalgorithm
- 利用帕累托最优和协同进化算法做一个模拟，可以应用在多目标优化上。-a simulation using pareto optimization and co-evolutionay algorithm, it could be used to solve multiple objective optimization.
DMOEADD_code2009
- 动力学演化算法解决多目标优化问题，采用了与模拟退火算法相结合的准则，理论基础来源于统计力学中的自由能极小化定律。 -Evolutionary Algorithms for Solving Multi-Objective Problems
multioptimization
- 用遗传算法研究多目标优化问题的一片文章，内容详细，文章后附有编程代码-Genetic algorithms with multi-objective optimization problems with an article, detailed programming code is attached to the article
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题，针对最优解求解可得到更好的解，接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
多目标优化进化算法
- 按照外文经典文献的步骤和流程，在matlab环境下编写了多目标优化进化算法程序。在外文经典文献中，有该算法的子函数开源代码，程序运行速度快、精度高。文件由主程序和子函数构成，共7个.m文件。(According to the steps and process of foreign literature, a multi-objective optimization evolutionary algorithm program is written in Matlab environment.
mno-differential-grouping-7cf5110a1fab
- 利用差分分组的多目标优化算法，MATLAB编写。(differential grouping)