Latest Stored Information Based Adaptive Selection Strategy for Multiobjective Evolutionary Algorithm
Table 7
Comparative results of all the compared algorithms on the UF test problems regarding HV.
Problems
Algorithms
MOEA/D-DE
MOEA/D-DRA
MOEA/D-FRRMAB
MOEA/D-STM
MOEA/D-UCB-T
MOEA/D-ARG
MOEA/D-LSIAS
UF1
Mean
3.5883
3.5937
3.6157
3.6265
3.6159
3.6189
3.6225
IQR
Rank
7
6
5
1
4
3
2
UF2
Mean
3.6094
3.6158
3.6355
3.6202
3.6343
3.6269
3.6383
IQR
Rank
7
6
2
5
3
4
1
UF3
Mean
3.5457
3.5753
3.5671
3.5966
3.5688
3.6007
3.6043
IQR
Rank
7
4
6
3
5
2
1
UF4
Mean
3.1729
3.1667
3.2067
3.1818
3.2072
3.2229
3.2244
IQR
Rank
6
7
4
5
3
2≈
1
UF5
Mean
2.7922
2.8537
2.9587
3.1919
2.9228
3.0537
3.1661
IQR
Rank
7
6
4
1
5
3
2
UF6
Mean
2.7671
2.8021
2.9891
3.0071
2.9920
2.8444
3.1059
IQR
Rank
7
6
4
2
3
5
1
UF7
Mean
3.4147
3.4276
3.4396
3.4534
3.4392
3.4615
3.4774
IQR
Rank
7
6
4
3
5
2
1
UF8
Mean
6.3576
6.3327
6.7828
6.6325
6.7813
6.4792
6.5927
IQR
Rank
6
7
1
3
2
5
4
UF9
Mean
6.8127
7.0236
7.0345
7.1575
7.0327
7.1082
7.1056
IQR
Rank
7
6
4
1
5
2
3
UF10
Mean
3.6443
3.7456
3.7198
3.6211
3.7203
3.8108
3.8102
IQR
Rank
6
3
5
7
4
1
2
Rank Sum
67
57
39
31
39
29
18
+/−/≈
0/10/0
0/10/0
1/9/0
4/6/0
1/9/0
2/7/1
“+,” “−,” and “≈,” respectively, indicate the result of the algorithm is better than, worse than, and similar to that of MOEA/D-LSIAS based on the Wilcoxon’s rank sum test with a significance .
