登录
首页 » matlab » NSGA214jdian

NSGA214jdian

于 2020-06-01 发布
0 339
下载积分: 1 下载次数: 3

代码说明:

说明:  考虑环境因素的多目标优化方法,采用传统的遗传算法,同时考虑环境和经济性,考虑帕累托策略。(The multi-objective optimization method considering the environmental factors, using the traditional genetic algorithm, while considering the environment and economy, considering the Pareto strategy.)

文件列表:

NSGA214jdian\0.33.fig, 1693 , 2016-04-08
NSGA214jdian\1.txt, 132 , 2016-04-08
NSGA214jdian\118.fig, 11849 , 2016-04-08
NSGA214jdian\14(1).fig, 12487 , 2016-04-08
NSGA214jdian\14.fig, 14047 , 2016-04-08
NSGA214jdian\30.fig, 10509 , 2016-04-08
NSGA214jdian\57.fig, 10788 , 2016-04-08
NSGA214jdian\add_userfcn.m, 4580 , 2016-04-08
NSGA214jdian\bpmpd_qp.m, 7090 , 2016-04-08
NSGA214jdian\bustypes.m, 1922 , 2016-04-08
NSGA214jdian\case118.asv, 32646 , 2016-04-08
NSGA214jdian\case118.m, 32640 , 2016-04-08
NSGA214jdian\case14.asv, 4528 , 2016-04-08
NSGA214jdian\case14.m, 4640 , 2016-04-08
NSGA214jdian\case2383wp.m, 340801 , 2016-04-08
NSGA214jdian\case24_ieee_rts.m, 8714 , 2016-04-08
NSGA214jdian\case2736sp.m, 717643 , 2016-04-08
NSGA214jdian\case2737sop.m, 715227 , 2016-04-08
NSGA214jdian\case2746wop.m, 732905 , 2016-04-08
NSGA214jdian\case2746wp.m, 736281 , 2016-04-08
NSGA214jdian\case30.asv, 5127 , 2016-04-08
NSGA214jdian\case30.m, 5664 , 2016-04-08
NSGA214jdian\case300.m, 68088 , 2016-04-08
NSGA214jdian\case30a.m, 5664 , 2016-04-08
NSGA214jdian\case30pwl.m, 4514 , 2016-04-08
NSGA214jdian\case30Q.m, 4547 , 2016-04-08
NSGA214jdian\case39.m, 9726 , 2016-04-08
NSGA214jdian\case4gs.m, 1340 , 2016-04-08
NSGA214jdian\case57.m, 13228 , 2016-04-08
NSGA214jdian\case6ww.m, 2042 , 2016-04-08
NSGA214jdian\case9.m, 1930 , 2016-04-08
NSGA214jdian\case9Q.m, 2022 , 2016-04-08
NSGA214jdian\caseformat.m, 6790 , 2016-04-08
NSGA214jdian\casejy.asv, 35351 , 2016-04-08
NSGA214jdian\casejy.m, 33315 , 2016-04-08
NSGA214jdian\casejy1.m, 33263 , 2016-04-08
NSGA214jdian\casejy2.asv, 33319 , 2016-04-08
NSGA214jdian\casejy2.m, 33319 , 2016-04-08
NSGA214jdian\casejy3.m, 33444 , 2016-04-08
NSGA214jdian\casejy4.m, 33305 , 2016-04-08
NSGA214jdian\casejyxd.asv, 33582 , 2016-04-08
NSGA214jdian\casejyxd.m, 33582 , 2016-04-08
NSGA214jdian\casejyxd2.asv, 33506 , 2016-04-08
NSGA214jdian\casejyxd2.m, 33499 , 2016-04-08
NSGA214jdian\casejyxd3.m, 33256 , 2016-04-08
NSGA214jdian\casejyxd4.m, 33627 , 2016-04-08
NSGA214jdian\casejyxd5.m, 33509 , 2016-04-08
NSGA214jdian\casejyxd6.m, 33509 , 2016-04-08
NSGA214jdian\casejyxd7.m, 33550 , 2016-04-08
NSGA214jdian\case_ieee30.m, 7780 , 2016-04-08
NSGA214jdian\case_ieee30a.m, 7789 , 2016-04-08
NSGA214jdian\cdf2matp.m, 10480 , 2016-04-08
NSGA214jdian\compare_case.m, 5495 , 2016-04-08
NSGA214jdian\competition.m, 1314 , 2016-04-08
NSGA214jdian\consfmin.m, 6601 , 2016-04-08
NSGA214jdian\copf_solver.m, 9578 , 2016-04-08
NSGA214jdian\costfmin.m, 6107 , 2016-04-08
NSGA214jdian\cpso.asv, 4175 , 2016-04-08
NSGA214jdian\cpso.m, 5310 , 2016-04-08
NSGA214jdian\cpso14.asv, 2196 , 2016-04-08
NSGA214jdian\cpso14.m, 2195 , 2016-04-08
NSGA214jdian\Crisscross.m, 721 , 2016-04-08
NSGA214jdian\CSOJILU.mat, 2062 , 2016-04-08
NSGA214jdian\CSO_PSO_mbest_gbest.asv, 2773 , 2016-04-08
NSGA214jdian\CSO_PSO_mbest_gbest.m, 2761 , 2016-04-08
NSGA214jdian\d2AIbr_dV2.m, 1840 , 2016-04-08
NSGA214jdian\d2ASbr_dV2.m, 1860 , 2016-04-08
NSGA214jdian\d2Ibr_dV2.m, 1180 , 2016-04-08
NSGA214jdian\d2Sbr_dV2.m, 1547 , 2016-04-08
NSGA214jdian\d2Sbus_dV2.m, 1338 , 2016-04-08
NSGA214jdian\dAbr_dV.m, 2092 , 2016-04-08
NSGA214jdian\dcopf.m, 518 , 2016-04-08
NSGA214jdian\dcopf_solver.m, 10311 , 2016-04-08
NSGA214jdian\dcpf.m, 998 , 2016-04-08
NSGA214jdian\define_constants.m, 1942 , 2016-04-08
NSGA214jdian\dianya118.asv, 3725 , 2016-04-08
NSGA214jdian\dianya118.m, 2838 , 2016-04-08
NSGA214jdian\dIbr_dV.m, 1861 , 2016-04-08
NSGA214jdian\dSbr_dV.m, 4191 , 2016-04-08
NSGA214jdian\dSbus_dV.m, 2243 , 2016-04-08
NSGA214jdian\EMJILU.mat, 1645 , 2016-04-08
NSGA214jdian\evaluate_objective.asv, 1125 , 2016-04-08
NSGA214jdian\evaluate_objective.m, 1125 , 2016-04-08
NSGA214jdian\ext2int.m, 13734 , 2016-04-08
NSGA214jdian\f.m, 371 , 2016-04-08
NSGA214jdian\f1.asv, 171 , 2016-04-08
NSGA214jdian\f1.m, 119 , 2016-04-08
NSGA214jdian\f10.m, 189 , 2016-04-08
NSGA214jdian\f11.m, 180 , 2016-04-08
NSGA214jdian\f12.m, 272 , 2016-04-08
NSGA214jdian\f13.m, 123 , 2016-04-08
NSGA214jdian\f14a.fig, 12555 , 2016-04-08
NSGA214jdian\f2.m, 136 , 2016-04-08
NSGA214jdian\f3.m, 131 , 2016-04-08
NSGA214jdian\f4.m, 224 , 2016-04-08
NSGA214jdian\f5.m, 55 , 2016-04-08
NSGA214jdian\f6.m, 163 , 2016-04-08
NSGA214jdian\f7.m, 107 , 2016-04-08
NSGA214jdian\f8.m, 188 , 2016-04-08
NSGA214jdian\f9.m, 134 , 2016-04-08

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

  • SLM
    Reduction PAPR by SLM Technique
    2010-12-12 15:26:44下载
    积分:1
  • BP-ANN
    BP神经网络算法MATLAB程序,神经网络在寻优方面的应用。(BP neural network algorithm MATLAB program, the application of neural network optimization.)
    2013-03-16 19:56:19下载
    积分:1
  • BaiTH2
    Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec Detectec
    2013-11-13 06:30:12下载
    积分:1
  • PCA-(1)
    FICHIER contenant le code matlab
    2014-02-06 19:09:24下载
    积分:1
  • GABP
    说明:  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。(具有“生存+检测”的迭代过程的搜索算法)基于自然界“优胜劣汰,适者生存”的生物进化原理引入优化参数形成的编码串联群体中,按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选,使适应度值好的个体被保留,适应度差的个体被淘汰,新的群体既继承了上一代的信息,又优于上一代。反复循环,直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)
    2019-03-20 16:21:50下载
    积分:1
  • New folder (3)
    looking the nearest distance
    2020-06-20 02:00:02下载
    积分:1
  • rls
    Recursive Least Squares.
    2011-09-22 21:50:17下载
    积分:1
  • MATLABbaili
    matlab应用一百例,绝对经典,你想要里面都有(Matlab Application of 100 cases, absolute classics, and you want to have inside)
    2007-06-17 19:35:03下载
    积分:1
  • Electronique-de-puissance
    electronique de puissance
    2014-11-17 05:27:06下载
    积分:1
  • seriesComm
    使用matlab编程实现的串口通讯程序,实现matlab读取串口数据(Using matlab programming to realize serial communication program, the realization of matlab to read serial data)
    2015-01-28 14:22:57下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载