登录
首页 » matlab » NSGA-II-Matlab-master

NSGA-II-Matlab-master

于 2020-11-22 发布
0 205
下载积分: 1 下载次数: 6

代码说明:

说明:  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)

文件列表:

NSGA-II-Matlab-master, 0 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II, 0 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front, 0 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\BNH.txt, 7886 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\C2DTLZ2.3D.pf, 8625 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ1.2D.pf, 23749 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ2.2D.pf, 23719 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ3.2D.pf, 23726 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ4.2D.pf, 23732 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ5.2D.pf, 7795 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ6.2D.pf, 7795 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\DTLZ7.2D.pf, 23763 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\OSY.txt, 23802 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\SRN.txt, 64104 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\TNK.txt, 7426 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF1.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF10.pf, 530000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF2.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF3.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF4.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF5.pf, 756 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF6.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF7.pf, 36000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF8.pf, 530000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\UF9.pf, 530000 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\ZDT1.pf, 14954 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\ZDT2.pf, 23712 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\ZDT3.pf, 24089 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\ZDT4.pf, 23729 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\Pareto Front\ZDT6.pf, 23714 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF1.m, 451 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF2.m, 608 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF3.m, 733 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF4.m, 539 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF5.m, 649 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF6.m, 837 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF7.m, 461 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF8.m, 651 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\UF9.m, 712 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\bos.m, 3896 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\calculate_feasible_paretofront.m, 1322 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\constrained_tournament_selection.m, 3148 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\crossover.m, 1060 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\crowdingDistance.m, 1529 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\deb2dk.m, 614 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\deb2dk1.m, 674 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\deb2dk2.m, 624 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\deb3dk.m, 904 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\deb3dk1.m, 891 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\do2dk.m, 781 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\do2dk1.m, 773 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\evaluateCV.m, 964 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\evaluate_pop.m, 1248 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\high_fidelity_evaluation.m, 14903 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\lex_dominate.m, 1117 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\lhsamp_model.m, 684 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\main.m, 3311 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\mating_selection.m, 980 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\mutation.m, 1043 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\nsga2_basic_parameters.m, 13626 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\nsga2_main.m, 3072 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\nsga2_selection.m, 3756 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\paretofront.mexw64, 8192 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\plot_population.m, 1239 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\pol_mut.m, 1724 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\sbx.m, 3387 , 2017-09-26
NSGA-II-Matlab-master\NSGA-II\survival_selection.m, 959 , 2017-09-26
NSGA-II-Matlab-master\README.md, 574 , 2017-09-26

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • now
    自适应混合高斯 视频火焰提取 检测效果还不错(Adaptive Gaussian mixture extracted video flame detection results were pretty good)
    2010-09-27 10:45:25下载
    积分:1
  • matlab
    图像灰度化处理源代码,有详尽的注释,有matlab基础的同志可以看得懂的。(Grayhound processing source code, detailed notes, matlab based comrades can understand.)
    2013-03-01 23:14:59下载
    积分:1
  • 基于GA优化的BP算法
    通过遗传算法优化BP神经网络,提高其收敛速度和预测准确度。(BP neural network is optimized by genetic algorithm to improve its convergence speed and prediction accuracy.)
    2019-05-27 22:04:48下载
    积分:1
  • cma
    These M-files generate received T/-spaced, noisy signals from empirically-measured T/2-spaced AppSigTec channels and simulates a blind adaptive equalizer updated with Constant Modulus Algorithm.
    2009-07-08 19:58:41下载
    积分:1
  • FORWARD_SMOOTHNESS_MUSIC
    前向空间平滑MUSIC估计,即用前向空间平滑方法实现相干信号的DOA估计(Forward space smoothing MUSIC estimation, spatial smoothing method to achieve that with forward coherent signal DOA estimation)
    2012-10-17 15:17:12下载
    积分:1
  • f1
    说明:  差分进化算法,是一种新兴起的智能计算方法.它能求解各种无约束优化问题.(Differential evolution algorithm, is a new emerging intelligent methods of calculation. It can to solve a variety of unconstrained optimization problems.)
    2008-01-25 09:49:12下载
    积分:1
  • radar_fun
    雷达的一些基础函数,关于测距,DOPPLER频移计算,距离计算(雷达方程)(Basic function of the radar, ranging, DOPPLER frequency shift calculated distance calculation (radar equation))
    2012-10-02 00:04:52下载
    积分:1
  • 多目标粒子群算法 MATLAB代码
    处理数据中有很好的应用,里面有验证函数,可以进行验证。(Processing data has a good application, there are validation functions, can be validated.)
    2020-12-26 11:39:04下载
    积分:1
  • 目标定位
    说明:  研究目标跟踪的状态估计方法,最小二乘估计,Kalman滤波,扩展Kalman滤波,无迹Kalman滤波以及粒子滤波等,理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)
    2021-03-25 09:49:13下载
    积分:1
  • yusuan
    matlab solve yusuan deng wenti (matlab solve yusuan deng wenti)
    2007-09-22 09:16:47下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载