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Table 4 NSGA-II 3-objective solutions for CAS

From: A multi-objective test data generation approach for mutation testing of feature models

Id Fitness values
  (S,A,P) (#prod.; score(%); pairwise cover)
1 (0.002; 0.687; 0.426) (1; 31.278; 57.377)
2 (0.004; 0.533; 0.279) (2; 46.696; 72.131)
3 (0.007; 0.396; 0.246) (3; 60.352; 75.410)
4 (0.007; 0.427; 0.142) (3; 57.269; 85.792)
5 (0.009; 0.317; 0,191) (4; 68.282; 80.874)
6 (0.011; 0.189; 0.027) (5; 81.057; 97.268)
7 (0.018; 0.141; 0.082) (8; 85.903; 91.803)
8 (0.018; 0.145; 0.071) (8; 85.463; 92.896)
9 (0.02; 0.110; 0.049) (9; 88.987; 95.082)
10 (0.02; 0.145; 0.038) (9; 85.463; 96.721)
11 (0.024; 0.079; 0.005) (11; 92.070; 99.454)
12 (0.029; 0.062; 0.027) (13; 93.833; 97.268)
13 (0.031; 0.044; 0.005) (14; 95.595; 99.454)
14 (0.036; 0.062; 0) (16; 93.833; 100)
15 (0.038; 0.040; 0.011) (17; 96.035; 98.907)
16 (0.04; 0.035; 0.011) (18; 96.476; 98.907)
17 (0.047; 0.013; 0.011)  
18 (0.049; 0.031; 0) (22; 96.916; 100)
19 (0.049; 0.026; 0.005) (22; 97.357; 99.454)
20 (0.058; 0.013; 0) (26; 98.678; 100)
21 (0.073; 0.009; 0) (33; 99.119; 100)
22 (0.084; 0.004; 0) (38; 99.560; 100)
23 (0.1; 0; 0) (45; 100; 100)