Mathematical functions for testing optimization algorithms

"ANDRE"

Comparison of some algorithms - test with known optimum

Monte Carlo FMINCON with restart GRADE GRADE+CERAF GRBFN
FunctionDimOptimumPrecissionSRANFCSRANFCrestartsSRANFCSRANFCSRANFC
F1 1-1.123230.011232100 58100 27 3100 55100 55100 23
F3 1-12.03120.120312100 122100 57 5100 95100 95100 43
Branin 2 0.397890.003979100 12979100 24 1100 348100 348100 51
Camelback 2-1.031630.010316100 2026100 40 1100 198100 198100 61
Goldprice 2 3 0.03100 49463100 63 1100 337100 337100217
PShubert1 2-186.7311.867309100 86028100 2097 53100 3879100 1402 78573
PShubert2 2-186.7311.867309100 86521100 1615 40100 2333100 896 98540
Quartic 2-0.352390.003524100 25814100 56 2100 320100 331100 83
Shubert 2-186.7311.867309100 7658100 375 12100 606100 603100499
Hartman1 3-3.862780.038678100 1705100 63 1100 284100 292100 34
Shekel1 4-10.15320.101532 0-------100 335 3100 47577100 4078 0---
Shekel2 4-10.40290.104029 0-------100 255 2100 15356100 2686 0---
Shekel3 4-10.53640.105364 0-------100 284 2100 7310100 2496 0---
Hartman2 6-3.322370.033224 21283866100 200 1 59123727100 9881100130
Hosc45 10 1 0.01 0-------100 264 3100 2147100 2096------
Brown1 20 2 0.02 0-------100286979147100176628100182390------
Brown3 20 0 0.1 0-------100 5660 4100 36568100 36090------
F5n 20 0 0.1 0-------100 15838 8100 6734100 7284------
F10n 20 0 0.1 0------- 0--------- 78 89715100226374------
F15n 20 0 0.1 0------- 0---------100 22378100 25528------
montecarlo_1.zip fmincon+restart_1.zip grade_1.zip grade+ceraf_1.zip grbfn_1.zip
13.6kB 13.1kB 61.2kB 65.8kB 30.9kB
[1] J. Andre and P. Siarry and T. Dognon: An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization, Advances in Engineering Software, 32 (1), 49-60, (2000)
[2] O. Hrstka and A. Kučerová: Improvements of real coded genetic algorithms based on differential operators preventing the premature convergence. Advances in Engineering Software, 35 (3-4), 237-246, (2004)
BiBTeX entry, e-print: arXiv:0902.1629
[3] A. Kučerová: Identification of nonlinear mechanical model parameters based on softcomputing methods, Ph.D. thesis, Ecole Normale Supérieure de Cachan, Laboratoire de Mécanique et Technologie, 2007,
PDF (5.03MB),   prezentation (4.55MB),   BiBTeX entry
[4] J. Nosek: Stochastická optimalizace návrhu konstrukcí, Master thesis, Czech Technical University in Prague, Faculty of Civil Engineering, Department of Mechanics, 2008,
PDF (2.01MB)





Last modification: 13 Oct 2009