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NSGA214jdian

于 2020-06-01 发布
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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

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    经验模式分解源码 学习希尔波特黄变换的参考程序 源于Internet网络，欢迎传播交流！(Empirical mode decomposition source learning Hilbert Huang Transform reference procedures from Internet network, welcomes the dissemination of the exchange!)
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    2009-07-31 21:38:55下载
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