benchmark-for-CEC-2014
所属分类：Windows CE
开发工具：matlab
文件大小：3626KB
下载次数：117
上传日期：2016-05-13 18:34:34
上 传 者：
wanxiaohua
说明： 该压缩文件包含用来比较算法优化性能的30个新的测试函数，即CEC2014测试函数集
(The compressed file contains 30 new test function, namely CEC2014 test function set，which is used used to compare performance of algorithm)
文件列表:
benchmark for CEC 2014\2014 Benchmark Functions for the CEC 2014 on Single Objective Real-Parameter Numerical Optimization .pdf (764954, 2015-01-27)
benchmark for CEC 2014\boundConstraint_absorb.m (526, 2014-04-11)
benchmark for CEC 2014\boundConstraint_reflect.m (407, 2014-02-25)
benchmark for CEC 2014\cec14_func.cpp (33827, 2013-12-20)
benchmark for CEC 2014\cec14_func.mexw32 (32768, 2014-01-09)
benchmark for CEC 2014\cec14_func.mexw64 (32768, 2014-01-14)
benchmark for CEC 2014\CFPSO_G_cec2014.m (2966, 2016-01-11)
benchmark for CEC 2014\input_data\M_10_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_10_D100.txt (250200, 2013-11-15)
benchmark for CEC 2014\input_data\M_10_D2.txt (104, 2013-11-15)
benchmark for CEC 2014\input_data\M_10_D20.txt (10040, 2013-11-16)
benchmark for CEC 2014\input_data\M_10_D30.txt (22560, 2013-11-15)
benchmark for CEC 2014\input_data\M_10_D50.txt (62600, 2013-11-15)
benchmark for CEC 2014\input_data\M_11_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_11_D100.txt (250200, 2013-11-15)
benchmark for CEC 2014\input_data\M_11_D2.txt (104, 2013-11-15)
benchmark for CEC 2014\input_data\M_11_D20.txt (10040, 2013-11-16)
benchmark for CEC 2014\input_data\M_11_D30.txt (22560, 2013-11-15)
benchmark for CEC 2014\input_data\M_11_D50.txt (62600, 2013-11-15)
benchmark for CEC 2014\input_data\M_12_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_12_D100.txt (250200, 2013-11-15)
benchmark for CEC 2014\input_data\M_12_D2.txt (104, 2013-11-15)
benchmark for CEC 2014\input_data\M_12_D20.txt (10040, 2013-11-16)
benchmark for CEC 2014\input_data\M_12_D30.txt (22560, 2013-11-15)
benchmark for CEC 2014\input_data\M_12_D50.txt (62600, 2013-11-15)
benchmark for CEC 2014\input_data\M_13_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_13_D100.txt (250200, 2013-11-15)
benchmark for CEC 2014\input_data\M_13_D2.txt (104, 2013-11-15)
benchmark for CEC 2014\input_data\M_13_D20.txt (10040, 2013-11-16)
benchmark for CEC 2014\input_data\M_13_D30.txt (22560, 2013-11-15)
benchmark for CEC 2014\input_data\M_13_D50.txt (62600, 2013-11-15)
benchmark for CEC 2014\input_data\M_14_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_14_D100.txt (131072, 2013-11-15)
benchmark for CEC 2014\input_data\M_14_D2.txt (104, 2013-11-15)
benchmark for CEC 2014\input_data\M_14_D20.txt (10040, 2013-11-16)
benchmark for CEC 2014\input_data\M_14_D30.txt (22560, 2013-11-15)
benchmark for CEC 2014\input_data\M_14_D50.txt (62600, 2013-11-15)
benchmark for CEC 2014\input_data\M_15_D10.txt (2520, 2013-11-15)
benchmark for CEC 2014\input_data\M_15_D100.txt (250200, 2013-11-15)
benchmark for CEC 2014\input_data\M_15_D2.txt (104, 2013-11-15)
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Please put cec14_func.cpp and input_data folder with your algorithm in the same folder. Set this folder as the current path.
1. run the following command in Matlab window:
mex cec14_func.cpp -DWINDOWS
2. Then you can use the test functions as the following example:
f = cec14_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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