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yichuansuanfa

于 2018-09-27 发布 文件大小:429KB
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代码说明：

  使用遗传算法优化风、光、燃气互补发电最佳配置(Genetic algorithm is used to optimize the optimal configuration of wind, light and gas complementary power generation)

文件列表：

yichuansuanfa\ceshi.m, 1500 , 2018-07-04
yichuansuanfa\fun.m, 1496 , 2018-06-27
yichuansuanfa\genetic\bs2rv.M, 3356 , 2003-01-26
yichuansuanfa\genetic\contents.M, 1833 , 2003-01-24
yichuansuanfa\genetic\crtbase.M, 1238 , 2003-01-26
yichuansuanfa\genetic\crtbp.M, 2270 , 2003-01-26
yichuansuanfa\genetic\crtrp.M, 2156 , 2003-01-26
yichuansuanfa\genetic\DOC\GATBXA0.PS, 53484 , 1998-04-22
yichuansuanfa\genetic\DOC\GATBXA1.PS, 204230 , 1998-04-22
yichuansuanfa\genetic\DOC\GATBXA2.PS, 200234 , 1998-04-22
yichuansuanfa\genetic\gpl.txt, 18349 , 2003-07-18
yichuansuanfa\genetic\migrate.M, 7272 , 2003-01-26
yichuansuanfa\genetic\mpga.M, 4074 , 2003-01-26
yichuansuanfa\genetic\mut.M, 1663 , 2003-01-26
yichuansuanfa\genetic\mutate.M, 3503 , 2003-01-26
yichuansuanfa\genetic\mutbga.M, 5008 , 2003-01-26
yichuansuanfa\genetic\objfun1.M, 2717 , 2003-01-21
yichuansuanfa\genetic\objharv.M, 2643 , 2003-01-21
yichuansuanfa\genetic\ranking.M, 4822 , 2003-01-26
yichuansuanfa\genetic\recdis.M, 1890 , 2003-01-26
yichuansuanfa\genetic\recint.M, 1958 , 2003-01-26
yichuansuanfa\genetic\reclin.M, 2018 , 2003-01-26
yichuansuanfa\genetic\recmut.M, 4996 , 2003-01-26
yichuansuanfa\genetic\recombin.M, 2569 , 2003-01-26
yichuansuanfa\genetic\reins.M, 5638 , 2003-01-26
yichuansuanfa\genetic\rep.M, 1272 , 2003-01-26
yichuansuanfa\genetic\resplot.M, 2145 , 2003-01-22
yichuansuanfa\genetic\rws.M, 1166 , 2003-01-26
yichuansuanfa\genetic\scaling.M, 1255 , 2003-01-26
yichuansuanfa\genetic\select.M, 2466 , 2003-01-26
yichuansuanfa\genetic\sga.M, 2161 , 2003-01-24
yichuansuanfa\genetic\sus.M, 1384 , 2003-01-22
yichuansuanfa\genetic\Test_fns\demoga1.M, 5111 , 2003-01-26
yichuansuanfa\genetic\Test_fns\mpga.M, 4783 , 2003-01-26
yichuansuanfa\genetic\Test_fns\objbran.M, 2611 , 2003-01-29
yichuansuanfa\genetic\Test_fns\objdopi.M, 4206 , 2003-01-26
yichuansuanfa\genetic\Test_fns\objeaso.M, 2507 , 2003-01-29
yichuansuanfa\genetic\Test_fns\objfun1.M, 2714 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun1a.M, 2582 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun1b.M, 2441 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun2.M, 2593 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun6.M, 2819 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun7.M, 2523 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun8.M, 2747 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objfun9.M, 2470 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objgold.M, 2700 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objharv.M, 2643 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objlinq.M, 3381 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objlinq2.M, 4100 , 2003-01-26
yichuansuanfa\genetic\Test_fns\objpush.M, 2678 , 2003-01-21
yichuansuanfa\genetic\Test_fns\objsixh.M, 2610 , 2003-01-29
yichuansuanfa\genetic\Test_fns\resplot.M, 2132 , 2003-01-26
yichuansuanfa\genetic\Test_fns\sga.M, 1969 , 2003-01-26
yichuansuanfa\genetic\Test_fns\simdopi1.M, 2690 , 1998-04-22
yichuansuanfa\genetic\Test_fns\simdopi2.M, 873 , 1998-04-22
yichuansuanfa\genetic\Test_fns\simlinq1.M, 2442 , 2003-01-21
yichuansuanfa\genetic\Test_fns\simlinq2.M, 850 , 2003-01-26
yichuansuanfa\genetic\Test_fns\simobjp.M, 531 , 2003-01-26
yichuansuanfa\genetic\Test_fns\TEST_FNS.PS, 140988 , 1998-04-22
yichuansuanfa\genetic\xovdp.M, 1106 , 2003-01-22
yichuansuanfa\genetic\xovdprs.M, 1155 , 2003-01-22
yichuansuanfa\genetic\xovmp.M, 2873 , 2003-01-22
yichuansuanfa\genetic\xovsh.M, 1097 , 2003-01-22
yichuansuanfa\genetic\xovshrs.M, 1145 , 2003-01-22
yichuansuanfa\genetic\xovsp.M, 1110 , 2003-01-22
yichuansuanfa\genetic\xovsprs.M, 1155 , 2003-01-22
yichuansuanfa\hourly.xlsx, 202064 , 2018-06-26
yichuansuanfa\huatu.m, 588 , 2018-07-31
yichuansuanfa\initpop.m, 87 , 2018-06-22
yichuansuanfa\jisuan.m, 27 , 2018-07-04
yichuansuanfa\main.m, 1240 , 2018-06-27
yichuansuanfa\OBJV.m, 3761 , 2018-07-31
yichuansuanfa\untitled.fig, 17902 , 2018-07-31
yichuansuanfa\genetic\DOC, 0 , 2018-06-26
yichuansuanfa\genetic\Test_fns, 0 , 2018-06-26
yichuansuanfa\genetic, 0 , 2018-06-26
yichuansuanfa, 0 , 2018-07-31

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发表评论

0 个回复

  • SHUXUEJIANMO
    大部分都是数学建模的资料,大家要多多支持啊!(are mostly mathematical modeling of information, we have to be generous support ah!)
    2006-12-20 10:56:46下载
    积分：1
  • dd
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    2013-12-04 11:44:03下载
    积分：1
  • ned
    this file is optimizing cod by nelder Mead in matlab.
    2012-10-17 03:37:17下载
    积分：1
  • zsy
    说明：  非线性自适应的算法及其仿真实验，包含仿真实验报告，代码目录以及代码说明。(Nonlinear adaptive algorithm and its simulation results, the report contains the simulation, code directory and the code description.)
    2010-04-18 11:23:01下载
    积分：1
  • slepian
    说明：  利用多窗口法实现频谱估计，本例直接调用pmtm函数进行估计。(Using multi-window method of spectrum estimation, in this case to estimate the direct call pmtm function.)
    2010-04-23 09:51:01下载
    积分：1
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    使用Matlab进行wav文件的基音频率提取，包括自相关法、平均幅度差法和倒谱法等。(Wav files in Matlab to extract the pitch frequency, including the auto-correlation method, average magnitude difference method and the cepstrum method.)
    2021-01-08 09:58:51下载
    积分：1
  • deeplearning_facerecognition
    人脸识别，使用深度学习中的DBN算法进行人脸识别算法，数据集是ORL人脸数据集。(FACE Recognition, using the depth learning DBN algorithm recognition algorithm, the data set is a ORL face dataset.)
    2016-07-31 17:04:45下载
    积分：1
  • Filter
    使用EKF、UKF、PF、EKPF算法实现简单的单个目标跟踪滤波(Using EKF, UKF, PF, EKPF simple tracking algorithm filter)
    2021-03-05 15:49:31下载
    积分：1
  • Turbo
    一种Turbo编码的MATLAB仿真实现 通过使用MATLAB软件仿真实现了Turbo码编码,提高了对其高效优质的编码效率的认识(A MATLAB Simulation of Turbo codes to achieve through the use of MATLAB software simulation to achieve a Turbo-Coded, improve the quality of its high efficiency of the coding efficiency)
    2009-05-07 22:15:01下载
    积分：1
  • myeuler_vs_ode45
    比较欧拉公式与matlab的ode方法解微分方程的不同(Comparison of the Euler formula for the ode with matlab different method to solve differential equations)
    2009-05-11 21:18:41下载
    积分：1
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