Research Article
An Improved Nondominated Sorting Genetic Algorithm III Method for Solving Multiobjective Weapon-Target Assignment Part I: The Value of Fighter Combat
| NSGA-III | | | | 3 |
| 1 | 0.06952 | 8.68 | 100 | 2 | 0.07019 | 7.72 | 4 | 3 | 0.07036 | 8.02 | 3 | 4 | 0.07093 | 6.82 | 2 | 5 | 0.07122 | 7.37 | 1.5 | 6 | 0.07145 | 6.47 | 1.09091 | 7 | 0.0719 | 7.16 | 1 | 8 | 0.07208 | 6.02 | 1 | 9 | 0.07256 | 6.2 | 0.8 | 10 | 0.07341 | 5.3 | 0.66667 | 11 | 0.0741 | 6.48 | 0.63158 | 12 | 0.07627 | 4.62 | 0.57143 | 13 | 0.07792 | 5.3 | 0.54545 | 14 | 0.07802 | 5.6 | 0.52174 | 15 | 0.07985 | 4.87 | 0.54545 | 16 | 0.08105 | 5.85 | 0.5 | 17 | 0.0817 | 4.95 | 0.44444 | 18 | 0.08333 | 3.97 | 0.48 | 19 | 0.08402 | 4.27 | 0.4 | 20 | 0.08459 | 3.89 | 0.48 | 21 | 0.0884 | 3.21 | 0.42857 | 22 | 0.09031 | 4.21 | 0.4 | 23 | 0.09554 | 3.56 | 0.35294 | 24 | 0.09752 | 3.36 | 0.4 | 25 | 0.10173 | 3.36 | 0.35294 | 26 | 0.10595 | 3.67 | 0.34286 | 27 | 0.10874 | 3.55 | 0.34286 | 28 | 0.10988 | 2.99 | 0.31579 | 29 | 0.11019 | 2.89 | 0.34286 | 30 | 0.1147 | 2.71 | 0.31579 | 31 | 0.11756 | 2.65 | 0.32432 | 32 | 0.12685 | 2.55 | 0.33333 | 33 | 0.13384 | 2.24 | 0.31579 | 34 | 0.15216 | 2.03 | 0.29268 | 35 | 0.16145 | 1.92 | 0.3 | 36 | 0.17051 | 1.99 | 0.29268 | 37 | 0.17871 | 1.27 | 0.3 | 38 | 0.18988 | 1.34 | 0.29268 | 39 | 0.25602 | 1.27 | 0.27273 | 40 | 0.27956 | 1.34 | 0.26667 | 41 | 0.1 | 7.8 | 42.5 | 42 | 0.1 | 7.2 | 33.5 | 43 | 0.1 | 6.8 | 27.5 | 44 | 0.1 | 6.2 | 18.5 | 45 | 0.1 | 5.6 | 12.5 | 46 | 0.1 | 5 | 7.1 | 47 | 0.16 | 4.4 | 4.675 | 48 | 0.16 | 3.8 | 2.975 | 49 | 0.1 | 4.4 | 5.9 | 50 | 0.16 | 3.2 | 1.775 | 51 | 0.1 | 3.8 | 5.6625 | 52 | 0.1 | 3.2 | 5.6125 | 53 | 0.22 | 3.4 | 2.6125 | 54 | 0.22 | 2.8 | 0.625 | 55 | 0.37577 | 0.996 | 3.34975 | 56 | 0.06623 | 7.3388 | 3.34975 | 57 | 0.24409 | 2.1668 | 3.34975 | 58 | 0.20791 | 2.7876 | 3.34975 | 59 | 0.17189 | 3.5728 | 3.34975 | 60 | 0.13616 | 4.561 | 3.34975 | 61 | 0.10086 | 5.7982 | 3.34975 | 62 | 0.20791 | 2.7876 | 3.34975 | 63 | 0.20791 | 8.7876 | 3.34975 | 64 | 0.38368 | 2.3574 | 3.34975 | 65 | 0.35316 | 0.996 | 3.34975 | 66 | 0.28033 | 1.678 | 3.34975 | 67 | 0.0352 | 9.9994 | 3.34975 | 68 | 0.40638 | 8.8566 | 3.34975 | 69 | 0.38431 | 8.337 | 3.34975 | 70 | 0.38979 | 8.547 | 3.34975 | 71 | 0.32185 | 2.349 | 3.34975 | 72 | 0.03548 | 9.6992 | 3.34975 | 73 | 0.13622 | 4.5612 | 3.34988 | 74 | 0.13634 | 4.5616 | 3.35023 | 75 | 0.03543 | 9.6266 | 3.56358 | 76 | 0.3168 | 1.295 | 3.57137 | 77 | 0.14243 | 4.0068 | 3.60527 | 78 | 0.13617 | 4.561 | 3.61382 | 79 | 0.28181 | 1.8256 | 3.70112 | 80 | 0.06495 | 9.9334 | 3.74135 | 81 | 0.05946 | 9.998 | 3.77945 | 82 | 0.03234 | 9.2458 | 3.78025 | 83 | 0.28132 | 1.678 | 3.7807 | 84 | 0.35609 | 1.433 | 3.8949 | 85 | 0.38276 | 2.0834 | 4.91208 | 86 | 0.05692 | 9.7142 | 5.08312 | 87 | 0.14241 | 6.1792 | 5.13159 | 88 | 0.3838 | 8.7272 | 5.54011 | 89 | 0.31968 | 1.9758 | 6.90731 | 90 | 0.37994 | 7.7678 | 8.09498 | 91 | 0.38328 | 2.2392 | 8.89547 | 92 | 0.38012 | 1.3922 | 9.5236 | 93 | 0.40638 | 8.8566 | 9.88592 | 94 | 0.38335 | 8.6474 | 61.00714 | 95 | 0.35273 | 0.996 | 86.38796 |
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