Research Article
A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions
Table 6
Cumulative results of best selection techniques.
| | Functions | Dimensions | | 10 | 50 | 100 |
| | Axis parallel hyper ellipsoid | 2.9418E − 07 (SWS) | 1.7630E + 01 (SWS) | 7.0599E + 02 (SWS) | | Beale | 23.5433 (TS) | 216.2626 (TS) | 607.0514 (TS) | | Bohachevsky | 5.0851E − 07 (SWS) | 17.8370 (SWS) | 97.8563 (SWS) | | Colville | 1.3926 (SWS) | 606.8044 (SWS) | 5940.3560 (SWS) | | Drop-wave | −4.4669 (SWS) | −17.9598 (SWS) | −35.1363 (SWS) | | Egg-holder | −413.0947 (SWS) | −1875.4208 (SWS) | −3541.7138 (SWS) | | Ellipsoidal | 3.3639E − 07 (SWS) | 652.7483 (SWS) | 31357.7650 (SWS) | | Rosenbrook | 6.4416 (SWS) | 241.8055 (SWS) | 1190.4242 (SWS) | | Schaffer | 4.1455 (SWS) | 22.2471 (SWS) | 45.6164 (SWS) | | Schwefel | −2898.0973 (SWS) | −8337.1457 (SWS) | −11872.9339 (SWS) |
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