Research Article
A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions
Table 4
Statistical results of optimum values for different selection schemes using unimodal benchmark functions.
| Benchmark | Selection schemes | Dimension | Statistics | RW | TS | RS | LRS | SWS |
| Axis parallel hyper ellipsoid | 10 | Mean | 5.0835E − 05 | 3.2320E − 07 | 1.5786E − 05 | 3.3563E − 05 | 2.9418E − 07 | S.D | 7.9800E − 05 | 2.5215E − 07 | 3.5962E − 05 | 5.8134E − 05 | 2.2951E − 07 | t-test | 0.00099 | 0.64287 | 0.02170 | 0.00619 | | 50 | Mean | 3.1488E + 02 | 1.9369E + 01 | 3.0683E + 02 | 3.2088E + 02 | 1.7630E + 01 | S.D | 1.8473E + 02 | 1.0019E + 01 | 1.9457E + 02 | 1.9967E + 02 | 9.1199E + 00 | t-test | 0.00000 | 0.48486 | 0.00000 | 0.00000 | | 100 | Mean | 3.0516E + 03 | 7.7562E + 02 | 2.8707E + 03 | 3.1637E + 03 | 7.0599E + 02 | S.D | 8.2320E + 02 | 2.0261E + 02 | 7.9006E + 02 | 1.0092E + 03 | 1.8442E + 02 | t-test | 0.00000 | 0.16921 | 0.00000 | 0.00000 | |
| Colville | 10 | Mean | 14.1036 | 1.4075 | 5.2867 | 10.0411 | 1.3926 | S.D | 64.1057 | 1.9450 | 24.4547 | 44.6261 | 1.9245 | t-test | 0.2822 | 0.9763 | 0.3882 | 0.0001 | | 50 | Mean | 2465.5693 | 613.2918 | 2293.8499 | 2380.0555 | 606.8044 | S.D | 2717.5439 | 287.6108 | 1873.1595 | 2295.6976 | 284.5685 | t-test | 0.0004 | 0.9303 | 0.0000 | 0.0000 | | 100 | Mean | 19237.7118 | 6003.8649 | 20567.1507 | 19902.7771 | 5940.3560 | S.D | 6243.5664 | 1519.1380 | 8549.9094 | 7397.0838 | 1503.0685 | t-test | 0.0000 | 0.8713 | 0.0000 | 0.0000 | |
| Ellipsoidal | 10 | Mean | 5.8835E − 06 | 3.6933E − 07 | 2.1295E − 05 | 5.1129E − 05 | 3.3639E − 07 | S.D | 8.9408E − 06 | 4.7645E − 07 | 8.7336E − 05 | 5.4186E − 05 | 4.3396E − 07 | t-test | 0.00125 | 0.78053 | 0.19389 | 0.00477 | | 50 | Mean | 2408.7101 | 716.6584 | 2228.5647 | 2423.9663 | 652.7483 | S.D | 941.5905 | 392.6978 | 784.5990 | 956.8467 | 357.6778 | t-test | 0.0000 | 0.5125 | 0.0000 | 0.0000 | | 100 | Mean | 87681.5841 | 34427.9838 | 83676.4636 | 87696.8404 | 31357.7650 | S.D | 18184.3183 | 9613.1629 | 14342.6643 | 18199.5746 | 8755.8803 | t-test | 0.0000 | 0.2010 | 0.0000 | 0.0000 | |
| Rosenbrook | 10 | Mean | 6.9873 | 7.0153 | 5.9280 | 8.2780 | 6.4416 | S.D | 3.6870 | 1.8204 | 3.0867 | 5.2072 | 1.6715 | t-test | 0.0000 | 0.0000 | 0.0000 | 0.0000 | | 50 | Mean | 444.0538 | 263.3415 | 348.7025 | 443.6579 | 241.8055 | S.D | 159.6747 | 47.2798 | 110.5376 | 182.3859 | 43.4132 | t-test | 0.0000 | 0.0712 | 0.0000 | 0.0000 | | 100 | Mean | 3491.3158 | 1296.4477 | 2971.5222 | 3461.4764 | 1190.4242 | S.D | 1123.5970 | 230.0574 | 653.2587 | 1118.4853 | 211.2433 | t-test | 0.0000 | 0.0681 | 0.0000 | 0.0000 | |
| Schaffer | 10 | Mean | 4.5650 | 4.5645 | 4.5653 | 4.5694 | 4.1455 | S.D | 0.0089 | 0.0084 | 0.0076 | 0.0103 | 0.0076 | t-test | 0.0000 | 0.0000 | 0.0000 | 0.0000 | | 50 | Mean | 25.5110 | 25.2177 | 25.1508 | 25.5793 | 22.2471 | S.D | 0.1419 | 0.0708 | 1.9232 | 0.1418 | 0.0643 | t-test | 0.0000 | 0.0000 | 0.0000 | 0.0000 | | 100 | Mean | 52.6225 | 51.7076 | 52.5572 | 52.9025 | 45.6164 | S.D | 0.2535 | 0.2024 | 0.3154 | 0.3309 | 0.1838 | t-test | 0.0000 | 0.0000 | 0.0000 | 0.0000 | |
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