Research Article
A Modified Pareto Ant Colony Optimization Approach to Solve Biobjective Weapon-Target Assignment Problem
Table 8
The value of PSs and results of WTA distribution.
| ā | 1/f1 | f2 | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 |
| 1 | 0.056798 | 8.68 | 6 | 3 | 7 | 7 | 8 | 9 | 5 | 4 | 1 | 9 | 10 | 2 | 2 | 0.058623 | 7.99 | 6 | 3 | 0 | 7 | 8 | 9 | 5 | 4 | 1 | 9 | 10 | 2 | 3 | 0.059 | 7.72 | 6 | 3 | 5 | 7 | 8 | 9 | 0 | 4 | 1 | 9 | 10 | 2 | 4 | 0.060966 | 7.34 | 6 | 3 | 0 | 7 | 8 | 9 | 5 | 4 | 1 | 2 | 10 | 0 | 5 | 0.061662 | 7.00 | 6 | 3 | 5 | 7 | 0 | 9 | 0 | 4 | 1 | 9 | 10 | 2 | 6 | 0.063811 | 6.62 | 6 | 3 | 0 | 7 | 0 | 9 | 5 | 4 | 1 | 2 | 10 | 0 | 7 | 0.064259 | 6.35 | 6 | 3 | 5 | 7 | 0 | 9 | 0 | 4 | 1 | 2 | 10 | 0 | 8 | 0.067327 | 5.96 | 6 | 3 | 0 | 7 | 0 | 9 | 5 | 4 | 1 | 2 | 0 | 0 | 9 | 0.067848 | 5.67 | 6 | 3 | 5 | 7 | 0 | 9 | 0 | 0 | 1 | 2 | 10 | 0 | 10 | 0.068893 | 5.42 | 6 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 1 | 9 | 10 | 2 | 11 | 0.071974 | 5.05 | 0 | 3 | 5 | 7 | 0 | 9 | 0 | 0 | 1 | 2 | 10 | 0 | 12 | 0.072395 | 4.79 | 6 | 3 | 5 | 7 | 0 | 0 | 0 | 4 | 1 | 9 | 0 | 0 | 13 | 0.073822 | 4.73 | 6 | 3 | 0 | 7 | 8 | 0 | 0 | 0 | 0 | 9 | 10 | 5 | 14 | 0.07645 | 4.42 | 0 | 3 | 5 | 7 | 0 | 9 | 0 | 4 | 1 | 0 | 0 | 0 | 15 | 0.077215 | 4.07 | 6 | 3 | 5 | 7 | 0 | 0 | 0 | 4 | 0 | 9 | 0 | 0 | 16 | 0.081585 | 3.74 | 0 | 3 | 5 | 7 | 0 | 9 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 0.081702 | 3.64 | 6 | 3 | 5 | 7 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0.082457 | 3.39 | 6 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 19 | 0.085299 | 3.24 | 6 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 5 | 20 | 0.087759 | 3.02 | 0 | 3 | 5 | 7 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0.08863 | 2.77 | 0 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 22 | 0.089675 | 2.73 | 0 | 3 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 5 | 23 | 0.09589 | 2.59 | 9 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 24 | 0.103038 | 2.39 | 0 | 0 | 5 | 7 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 0.104241 | 2.14 | 0 | 0 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 26 | 0.108826 | 1.99 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 5 | 27 | 0.116404 | 1.97 | 0 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 28 | 0.119689 | 1.90 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 29 | 0.13725 | 1.70 | 0 | 0 | 0 | 7 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0.139392 | 1.45 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 31 | 0.144902 | 1.34 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 32 | 0.15344 | 1.28 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 33 | 0.164821 | 1.25 | 9 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0.24888 | 0.90 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.256016 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 36 | 0.289352 | 0.62 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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