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Adaptive-CPSO-master

于 2020-05-11 发布
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说明：  改进的粒子群优化，有效解决全局最优，实现化工过程的温度优化(Improved particle swarm optimization to effectively solve global optimization)

文件列表：

Adaptive-CPSO-master, 0 , 2016-04-27
Adaptive-CPSO-master\.gitattributes, 378 , 2016-04-27
Adaptive-CPSO-master\.gitignore, 649 , 2016-04-27
Adaptive-CPSO-master\CEC2005, 0 , 2016-04-27
Adaptive-CPSO-master\CEC2005\A1.m, 6794 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ACPSO.m, 6994 , 2016-04-27
Adaptive-CPSO-master\CEC2005\EF8F2_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\E_ScafferF6_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\E_ScafferF6_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\E_ScafferF6_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\E_ScafferF6_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\E_ScafferF6_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\README.txt, 5303 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ackley_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ackley_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ackley_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ackley_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\ackley_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\automataActSel.m, 347 , 2016-04-27
Adaptive-CPSO-master\CEC2005\automataProbUp.m, 636 , 2016-04-27
Adaptive-CPSO-master\CEC2005\b.m, 86 , 2016-04-27
Adaptive-CPSO-master\CEC2005\benchmark_func.m, 27327 , 2016-04-27
Adaptive-CPSO-master\CEC2005\body.m, 1681 , 2016-04-27
Adaptive-CPSO-master\CEC2005\elliptic_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\elliptic_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\elliptic_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\elliptic_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\exemplar.m, 1042 , 2016-04-27
Adaptive-CPSO-master\CEC2005\fbias_data.mat, 248 , 2016-04-27
Adaptive-CPSO-master\CEC2005\func_plot.m, 1716 , 2016-04-27
Adaptive-CPSO-master\CEC2005\global_optima.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\griewank_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\griewank_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\griewank_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\griewank_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\griewank_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\high_cond_elliptic_rot_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func1_M_D10.mat, 8792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func1_M_D2.mat, 7592 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func1_M_D30.mat, 72792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func1_M_D50.mat, 200792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func1_data.mat, 8184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func2_M_D10.mat, 8792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func2_M_D2.mat, 1112 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func2_M_D30.mat, 72792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func2_M_D50.mat, 200792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func2_data.mat, 8184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_HM_D10.mat, 8792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_HM_D2.mat, 1112 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_HM_D30.mat, 72792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_HM_D50.mat, 200792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_M_D10.mat, 8792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_M_D2.mat, 1112 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_M_D30.mat, 72792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_M_D50.mat, 200792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func3_data.mat, 8184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func4_M_D10.mat, 8792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func4_M_D2.mat, 1112 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func4_M_D30.mat, 72792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func4_M_D50.mat, 200792 , 2016-04-27
Adaptive-CPSO-master\CEC2005\hybrid_func4_data.mat, 8184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\pso.m, 3030 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rastrigin_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rastrigin_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rastrigin_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rastrigin_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rastrigin_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\rosenbrock_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\schwefel_102_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\schwefel_206_data.mat, 21040 , 2016-04-27
Adaptive-CPSO-master\CEC2005\schwefel_213_data.mat, 41104 , 2016-04-27
Adaptive-CPSO-master\CEC2005\sphere_func_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\table.asv, 75 , 2016-04-27
Adaptive-CPSO-master\CEC2005\table.m, 111 , 2016-04-27
Adaptive-CPSO-master\CEC2005\test.m, 5168 , 2016-04-27
Adaptive-CPSO-master\CEC2005\test_data.mat, 104928 , 2016-04-27
Adaptive-CPSO-master\CEC2005\weierstrass_M_D10.mat, 984 , 2016-04-27
Adaptive-CPSO-master\CEC2005\weierstrass_M_D2.mat, 216 , 2016-04-27
Adaptive-CPSO-master\CEC2005\weierstrass_M_D30.mat, 7384 , 2016-04-27
Adaptive-CPSO-master\CEC2005\weierstrass_M_D50.mat, 20184 , 2016-04-27
Adaptive-CPSO-master\CEC2005\weierstrass_data.mat, 984 , 2016-04-27
Adaptive-CPSO-master\Readme.md, 1996 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc, 0 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\ACPSO.m, 6432 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\automataActSel.m, 347 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\automataProbUp.m, 596 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\b.m, 86 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\body.m, 1654 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\body1.m, 466 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\body2.m, 469 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\clpso.m, 3411 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\exemplar.m, 1042 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\fit_func.m, 2226 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\icpsoh.m, 8487 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\learn.m, 6505 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\orthm_generator.m, 305 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\rcpsoh.m, 9065 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\splitswarm.m, 1256 , 2016-04-27
Adaptive-CPSO-master\TEC2006_RotatedFunc\test.m, 1046 , 2016-04-27
Adaptive-CPSO-master\TEC2006_StandardFunc, 0 , 2016-04-27

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  • va_decode
    这是关于va检测的程序。 仿真参数为: 帧数：1000 帧长：100 调制方式：bpsk 信道：3径rayleigh慢衰落信道 接收：VA检测 文件有：bpsk.m；dec_bpsk.m；trellis.m；viterbi_my.m；main.m(This is about the va testing procedures. Simulation parameters: number of frames: 1000 Frame Size: 100 Modulation: bpsk Channel: 3 Path slow rayleigh fading channel receiver: VA inspection documents: bpsk.m dec_bpsk.m trellis.m viterbi_my.m main.m)
    2010-09-02 15:08:53下载
    积分：1
  • Simpson
    说明：  matlab中运用Simpson求积时的求积函数，可以有效解决这类问题。(matlab use Simpson quadrature quadrature at the time of function, can effectively solve all these problems.)
    2008-11-16 21:04:23下载
    积分：1
  • leachm1
    无线传感器网络协议仿真，可以看到每一轮所选出的簇头数目，基站收到的数据包总数，簇头收到的数据包总数，第一个节点死亡的时间，10 的节点死亡的时间等(Wireless sensor network protocol simulation, you can see every one of the selected number of cluster heads, the total number of packets received base station, cluster head total number of packets received, the first node of the time of death, 10 of the node dies time, etc.)
    2020-07-09 14:28:55下载
    积分：1
  • lichengmatlab
    这是一些MATLAB图形用户设计界面的源程序，对初学着有帮助哦！(which is a MATLAB graphical user interface design of the source of a novice to help!)
    2007-04-02 21:10:08下载
    积分：1
  • Image-Processing-P-matlab
    Image Processing + matlab
    2015-02-18 07:45:36下载
    积分：1
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    带白噪声的系统辨识仿真实验代码。系统参数在代码中给出。(A simulink of system identification with white noise.)
    2015-03-02 20:04:00下载
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  • 11111
    广义预测控制（GPC）仿真广义预测控制（GPC）仿真广义预测控制（GPC）仿真(GPC)
    2020-11-19 19:59:38下载
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    this file will help u in wireless communication for mimo based system
    2009-12-13 01:55:02下载
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  • directional_block_generating
    用于产生指定大小NxN的块，含有edge的信息，可以指定edge的方向。(Generate a directional block with certain edge.)
    2010-12-02 12:59:17下载
    积分：1
  • gequplayl
    由matlab编写的一首歌曲，m文件编写及函数的调用完全可以运行，无错误，大家多多学习(One song, written by matlab can run, no error, we learn more)
    2012-07-14 16:18:11下载
    积分：1
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