CoFFWA
所属分类：其他
开发工具：matlab
文件大小：7065KB
下载次数：0
上传日期：2020-12-03 11:08:24
上 传 者：
6309723
说明： 烟花优化算法用于函数优化，也可以用于其他优化问题。
(FWA for function optimization)
文件列表:
CoFFWA (0, 2015-06-24)
CoFFWA\ASFWAFrameworkFWA.m (4530, 2014-08-26)
CoFFWA\cec13_func.cpp (26800, 2013-02-14)
CoFFWA\cec13_func.mexw64 (37376, 2013-11-13)
CoFFWA\F0128_dim30.m (2300, 2014-12-10)
CoFFWA\input_data (0, 2015-06-24)
CoFFWA\input_data\M_D10.txt (25200, 2012-10-06)
CoFFWA\input_data\M_D100.txt (2502000, 2012-10-06)
CoFFWA\input_data\M_D2.txt (1040, 2012-10-06)
CoFFWA\input_data\M_D20.txt (100400, 2012-10-06)
CoFFWA\input_data\M_D30.txt (225600, 2012-10-06)
CoFFWA\input_data\M_D40.txt (400800, 2012-12-24)
CoFFWA\input_data\M_D5.txt (6350, 2012-10-06)
CoFFWA\input_data\M_D50.txt (626000, 2012-10-06)
CoFFWA\input_data\M_D60.txt (901200, 2012-12-24)
CoFFWA\input_data\M_D70.txt (1226400, 2012-12-24)
CoFFWA\input_data\M_D80.txt (1601600, 2012-12-24)
CoFFWA\input_data\M_D90.txt (2026800, 2012-12-24)
CoFFWA\input_data\shift_data.txt (25020, 2012-10-21)
CoFFWA\result (0, 2015-06-24)
CoFFWA\result\F10D30.csv (2493069, 2014-12-09)
CoFFWA\result\F11D30.csv (2490610, 2014-12-09)
CoFFWA\result\F12D30.csv (2461484, 2014-12-09)
CoFFWA\result\F13D30.csv (2211971, 2014-12-09)
CoFFWA\result\F14D30.csv (2497277, 2014-12-09)
CoFFWA\result\F15D30.csv (2497307, 2014-12-09)
CoFFWA\result\F16D30.csv (2341264, 2014-12-09)
CoFFWA\result\F17D30.csv (2345063, 2014-12-09)
CoFFWA\result\F18D30.csv (2346002, 2014-12-09)
CoFFWA\result\F19D30.csv (2354984, 2014-12-09)
CoFFWA\result\F1D30.csv (2643091, 2014-12-09)
CoFFWA\result\F20D30.csv (2341264, 2014-12-09)
CoFFWA\result\F21D30.csv (2417268, 2014-12-09)
CoFFWA\result\F22D30.csv (2497541, 2014-12-09)
CoFFWA\result\F23D30.csv (2498939, 2014-12-09)
CoFFWA\result\F24D30.csv (2497317, 2014-12-09)
CoFFWA\result\F25D30.csv (2497317, 2014-12-09)
CoFFWA\result\F26D30.csv (2497317, 2014-12-09)
CoFFWA\result\F27D30.csv (2497318, 2014-12-09)
... ...
/*
CEC13 Test Function Suite
Jane Jing Liang (email: liangjing@zzu.edu.cn)
8th Jan. 2013
*/
1. run the following command in Matlab window:
mex cec13_func.cpp -DWINDOWS
2. Then you can use the test functions as the following example:
f = cec13_func(x,func_num);
here x is a D*pop_size matrix.
3. main.m is an example test code with PSO algorithm.
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