Bfgs evolution: a population-based quasi-newton hybrid using multiple secant equations for black-box in matlab

The following Matlab project contains the source code and Matlab examples used for bfgs evolution: a population-based quasi-newton hybrid using multiple secant equations for black-box . BFGSE

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
BFGSE0814.m 9144
cec14_func.cpp 34158
cholesky.cpp 1033
DE_candidate_component.m 422
11-Sep-2014_22.33.44.txt 0
11-Sep-2014_22.40.19.txt 0
11-Sep-2014_22.40.54.txt 0
11-Sep-2014_22.40.58.txt 0
11-Sep-2014_22.41.01.txt 0
11-Sep-2014_22.41.03.txt 0
11-Sep-2014_22.41.05.txt 0
11-Sep-2014_22.41.07.txt 0
11-Sep-2014_22.41.09.txt 172
11-Sep-2014_22.41.45.txt 0
11-Sep-2014_22.41.49.txt 173
11-Sep-2014_22.42.15.txt 173
11-Sep-2014_22.45.51.txt 171
11-Sep-2014_22.46.21.txt 169
11-Sep-2014_22.46.45.txt 170
11-Sep-2014_22.46.53.txt 171
11-Sep-2014_22.47.08.txt 171
11-Sep-2014_22.53.18.txt 0
11-Sep-2014_22.53.44.txt 170
11-Sep-2014_22.55.03.txt 0
11-Sep-2014_22.55.18.txt 170
11-Sep-2014_22.58.24.txt 170
11-Sep-2014_22.59.39.txt 170
11-Sep-2014_23.02.31.txt 170
11-Sep-2014_23.03.13.txt 0
11-Sep-2014_23.03.40.txt 0
11-Sep-2014_23.03.48.txt 0
11-Sep-2014_23.04.17.txt 0
11-Sep-2014_23.04.33.txt 0
11-Sep-2014_23.05.34.txt 0
11-Sep-2014_23.05.56.txt 0
11-Sep-2014_23.06.18.txt 178
11-Sep-2014_23.07.34.txt 0
11-Sep-2014_23.07.41.txt 0
11-Sep-2014_23.07.56.txt 0
11-Sep-2014_23.08.11.txt 178
11-Sep-2014_23.09.21.txt 0
11-Sep-2014_23.09.44.txt 0
11-Sep-2014_23.20.28.txt 0
11-Sep-2014_23.21.24.txt 0
11-Sep-2014_23.21.30.txt 183
11-Sep-2014_23.29.39.txt 227
11-Sep-2014_23.30.07.txt 0
11-Sep-2014_23.30.19.txt 227
11-Sep-2014_23.39.37.txt 173
12-Sep-2014_00.12.59.txt 170
runs=10,deltaftarget=1e-06,dim=10,maxfunevals=10000000,method=BFGSE0814,n=-1,m=-1.mat 872
runs=15,deltaftarget=1e-06,dim=10,maxfunevals=10000000,method=BFGSE0814,n=-1,m=-1.mat 828
runs=50,deltaftarget=1e-06,dim=10,maxfunevals=10000000,method=BFGSE0814,n=-1,m=-1.mat 2431
fg.m 13827
fg_AD_BBOB.m 1182
find_nearest_parents.m 276
funToOptim.h 20870
funToOptimADvar.hpp 23913
funToOptimComplex.hpp 17172
fxISO.m 1328
g_AD.cpp 2731
BFGSE0814.html 34439
BFGSE0814.m 9676
BFGSE0814_eq01726.png 4083
BFGSE0814_eq07837.png 4106
BFGSE0814_eq21088.png 7326
BFGSE0814_eq35048.png 1891
BFGSE0814_eq42793.png 1520
BFGSE0814_eq49174.png 2222
BFGSE0814_eq50832.png 6644
BFGSE0814_eq58516.png 3463
BFGSE0814_eq65050.png 2768
BFGSE0814_eq65288.png 4324
BFGSE0814_eq65320.png 3377
BFGSE0814_eq78969.png 2451
BFGSE0814_eq81719.png 6840
BFGSE0814_eq81868.png 2962
BFGSE0814_eq82267.png 3903
BFGSE0814_eq84831.png 2004
BFGSE0814_eq89890.png 4386
BFGSE0814_eq91432.png 4691
cec14_func.cpp 34246
cholesky.cpp 1113
DE_candidate_component.m 455
fg.m 15445
fg_AD_BBOB.m 3187
find_nearest_parents.m 394
funToOptim.h 20870
funToOptimADvar.hpp 24197
funToOptimComplex.hpp 17523
fxISO.m 1328
g_AD.cpp 3695
isnaninf.m 81
linesch_armijo_find_parent.m 10381
Null.m 175
perturbation.m 10057
rad.hpp 7753
radops.cpp 6191
repeat.m 11066
repob_Fitness.cpp 2605
repob_FitnessComplex.cpp 2876
repob_MinimumFitness.cpp 2333
isnaninf.m 81
license.txt 1306
linesch_armijo_find_parent.m 8572
Null.m 175
perturbation.m 3849
rad.hpp 7753
radops.cpp 6191
README.txt 1465
repeat.asv 9610
repeat.m 6850
repob_Fitness.cpp 2393
repob_FitnessComplex.cpp 2569
repob_MinimumFitness.cpp 2263