Research Article
A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems
Table 3
The experimental results obtained by DE-1 and DE-5 versus proposed C-DE by solving CEC’13 benchmark functions
F21 to
F28 in
dimensions.
| P. no | Opt | Algorithm | Best | Worst | Mean | Median | Std |
| F21 | 700 | DE-1 | 966.512 | 1200.19 | 1167.02 | 1200.19 | 56.998745 | DE-5 | 1000.01 | 1200.19 | 1196.27 | 1200.19 | 28.031778 | C-DE | 900.624 | 1100.19 | 1092.95 | 1100.19 | 36.339134 |
| F22 | 800 | DE-1 | 930.345 | 1058.03 | 987.216 | 982.962 | 29.935014 | DE-5 | 907.239 | 1106.44 | 976.237 | 997.545 | 51.389783 | C-DE | 810.153 | 1029.34 | 899.141 | 904.74 | 53.322517 |
| F23 | 900 | DE-1 | 1809.8 | 2484.84 | 2246.86 | 2289.89 | 162.930066 | DE-5 | 1684.24 | 2609.9 | 2141.83 | 2145.54 | 200.732186 | C-DE | 1619.94 | 2523.09 | 2093.09 | 2101.43 | 198.583802 |
| F24 | 1000 | DE-1 | 1181.5 | 1238.29 | 1213.19 | 1212.26 | 16.478379 | DE-5 | 1150.46 | 1238.26 | 1224.55 | 1231.54 | 19.882749 | C-DE | 1141.11 | 1218.45 | 1208.85 | 1213.64 | 15.683668 |
| F25 | 1100 | DE-1 | 1291.09 | 1334.34 | 1329.7 | 1331.29 | 7.180292 | DE-5 | 1266.16 | 1333.75 | 1320.13 | 1322.16 | 11.632105 | C-DE | 1257.56 | 1314.85 | 1305.88 | 1308.8 | 10.946832 |
| F26 | 1200 | DE-1 | 1342.6 | 1394.56 | 1366.7 | 1365.16 | 10.154832 | DE-5 | 1334.52 | 1425.07 | 1384.18 | 1387.6 | 36.985466 | C-DE | 1311.73 | 1400.07 | 1349.87 | 1341.56 | 30.335554 |
| F27 | 1300 | DE-1 | 1703.24 | 1840.04 | 1770.84 | 1767.39 | 34.869565 | DE-5 | 1620.08 | 1852.55 | 1650.55 | 1620.71 | 64.877728 | C-DE | 1600.07 | 1824.26 | 1620.84 | 1600.49 | 55.037487 |
| F28 | 1400 | DE-1 | 1716.3 | 1800 | 1797.84 | 1800 | 12.230642 | DE-5 | 1550 | 1750 | 1723.52 | 1750 | 67.131550 | C-DE | 1500.61 | 1700 | 1688.44 | 1700 | 46.714278 |
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