登录
首页 » matlab » NSGA214jdian

NSGA214jdian

于 2020-06-01 发布
0 231
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

  • LEAC-txt
    wsn经典路由算法,对于初学者很有借鉴意义(Classic WSN routing algorithm for beginners is of great significance)
    2012-09-26 21:22:47下载
    积分:1
  • OFDM_matlab
    一个相对完整的OFDM通信系统的仿真设计,包括编码,调制,IFFT,上下变频,高斯信道建模,FFT,PAPR抑制,各种同步,解调和解码等模块,并统括系统性能的仿真验证了系统设计的可靠性。(Simulation and Design of a relatively complete OFDM communications system, including coding, modulation, IFFT, down conversion, Gaussian channel model, FFT, PAPR suppression, various synchronization, demodulation and decoding module and simulation of system performance omnibus the reliability of system design.)
    2015-04-20 09:34:07下载
    积分:1
  • three_program
    三种信道 瑞利 赖斯 高斯的误码率仿真,通过MATLAB实现(The three channel Ruililaisi Gaussian error rate simulation)
    2013-01-29 11:24:53下载
    积分:1
  • Matlab-time-frequency-anlysis-code
    时频分析工具箱中提供了计算各种线性时频表示和双线性时频分布的函数(Time-frequency analysis toolkit provides the calculation of linear time-frequency representation and bilinear time-frequency distribution function)
    2013-09-03 21:00:49下载
    积分:1
  • MY-WORK
    this work getting you a good start for nonlinear approximation of nonlinear systems
    2014-04-04 02:03:35下载
    积分:1
  • Modalparameteridentification
    应用经典prony法和AR参数建模进行模态参数识别(Prony method and the application of the classical AR modeling parameters for modal parameter identification)
    2007-07-31 15:00:55下载
    积分:1
  • approximate-genetic-algoritm-matlab
    Approximate Genetic Algorithm
    2010-06-28 06:04:30下载
    积分:1
  • compute_wavelet_quadtree
    This is an implementation of the Bandelets Transform for image processing purposes
    2010-01-14 10:55:57下载
    积分:1
  • AR
    说明:  含有通常所需的自适应滤波的AR预测过程模型,能够顺利的运行!(this file has the adaptive filter matlab source code ,you can run it smoothly)
    2011-10-16 23:20:47下载
    积分:1
  • tuxiangfenge
    图像分割的matlab代码,运行效果很好的。(Image segmentation matlab code, run very good.)
    2013-12-02 12:05:11下载
    积分:1
  • 696518资源总数
  • 105877会员总数
  • 14今日下载