An Improved Nondominated Sorting Genetic Algorithm III Method for Solving Multiobjective Weapon-Target Assignment Part I: The Value of Fighter Combat

Table 21

MPACO
1	0.06952	8.68	100
2	0.07256	6.2	0.8
3	0.07341	5.3	0.66667
4	0.0741	6.48	0.63158
5	0.07627	4.62	0.57143
6	0.07792	5.3	0.54545
7	0.07802	5.6	0.52174
8	0.07985	4.87	0.54545
9	0.08105	5.85	0.5
10	0.09752	3.36	0.4
11	0.10173	3.36	0.35294
12	0.10595	3.67	0.34286
13	0.10874	3.55	0.34286
14	0.10988	2.99	0.31579
15	0.11019	2.89	0.34286
16	0.1147	2.71	0.31579
17	0.17051	1.99	0.29268
18	0.17871	1.27	0.3
19	0.18988	1.34	0.29268
20	0.25602	1.27	0.27273
21	0.27956	1.34	0.26667
22	0.03346	9.2458	3.34975
23	0.35273	0.9962	3.35025
24	0.15292	9.0056	3.56627
25	0.2462	2.3204	3.64173
26	0.20956	3.0006	3.67611
27	0.31718	1.437	3.77513
28	0.24848	2.4014	3.79922
29	0.28457	1.876	3.82353
30	0.17966	4.1672	4.10582
31	0.25343	6.60826	4.11647
32	0.13914	2.5606	4.14042
33	0.28639	2.0884	4.35678
34	0.14175	3.698	4.46223
35	0.14277	2.987	4.51727
36	0.08449	2.43	4.55926
37	0.17589	4.6238	4.7343
38	0.08002	2.0406	4.7849
39	0.14984	5.929	4.83138
40	0.12355	7.461	4.8318
41	0.14186	6.0588	4.98583
42	0.28437	2.3816	5.13553
43	0.18122	4.935	5.1871
44	0.21446	3.8735	5.25744
45	0.21328	3.9618	5.30667
46	0.24787	9.3158	5.31994
47	0.19132	5.1524	5.51549
48	0.32606	3.1232	5.76914
49	0.21922	4.3486	6.03888
50	0.17991	5.6686	6.33581
51	0.1799	5.6758	6.34759
52	0.32229	2.2544	6.54919
53	0.29146	5.6102	6.90432
54	0.32349	2.3852	7.04616
55	0.32211	2.4028	7.11377
56	0.32594	2.9264	9.26279
57	0.36071	2.9998	13.2611
58	0.37503	6.6086	45.73848
59	0.37731	7.084	51.68306
60	0.34764	9.1058	56.91861
61	0.34774	9.1278	57.17808
62	0.34857	5.3214	59.41081
63	0.38565	8.1212	66.20195