Research Article
Statistical Design of Genetic Algorithms for Combinatorial Optimization Problems
Table 5
The results of the CCF design.
| | Input variables | Responses | Runs | | | | | | |
| (1) | 0 | 0 | 1 | 0 | −0.02 | 0.38 | (2) | 1 | 0 | 0 | 0 | −0.02 | 0.29 | (3) | 0 | −1 | 0 | 0 | −0.02 | 0.46 | (4) | −1 | 0 | 0 | 0 | −0.02 | 0.75 | (5) | 1 | 1 | −1 | 1 | −0.01 | 0.23 | (6) | 1 | −1 | 1 | −1 | −0.02 | 0.37 | (7) | −1 | 1 | 1 | 1 | −0.02 | 0.57 | (8) | 1 | −1 | 1 | 1 | −0.01 | 0.28 | (9) | 0 | 0 | 0 | −1 | −0.02 | 0.48 | (10) | 0 | 1 | 0 | 0 | −0.01 | 0.37 | (11) | −1 | −1 | 1 | 1 | −0.02 | 0.73 | (12) | 0 | 0 | 0 | 0 | −0.02 | 0.41 | (13) | 0 | 0 | 0 | 0 | −0.01 | 0.41 | (14) | 1 | 1 | 1 | 1 | −0.01 | 0.23 | (15) | 0 | 0 | 0 | 1 | −0.01 | 0.36 | (16) | 1 | 1 | 1 | −1 | −0.02 | 0.3 | (17) | −1 | −1 | −1 | −1 | −0.03 | 0.96 | (18) | 1 | 1 | −1 | −1 | −0.01 | 0.31 | (19) | 0 | 0 | 0 | 0 | −0.01 | 0.41 | (20) | −1 | 1 | −1 | 1 | −0.01 | 0.61 | (21) | −1 | −1 | −1 | 1 | −0.02 | 0.76 | (22) | −1 | −1 | 1 | −1 | −0.03 | 0.96 | (23) | 1 | −1 | −1 | −1 | −0.01 | 0.38 | (24) | −1 | 1 | −1 | −1 | −0.03 | 0.78 | (25) | 1 | −1 | −1 | 1 | −0.01 | 0.29 | (26) | 0 | 0 | −1 | 0 | −0.02 | 0.41 | (27) | 0 | 0 | 0 | 0 | −0.02 | 0.42 | (28) | −1 | 1 | 1 | −1 | −0.03 | 0.78 |
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