Table 5 T-test results.

From: Rich vehicle routing optimization based on variable neighborhood descent and differential evolution algorithm

Instance

ID

HDMMODE

INSGA_II

ACO

ADPRA

Sim-BRIG-LS

f1

f2

f3

f4

f1

f2

f3

f4

f1

f2

f3

f4

f1

f2

f3

f4

f1

f2

f3

f4

50−0−2

−1.12

−2.46

−5.03

−5.14

−1.09

−2.45

−5.02

−5.14

−1.08

−2.41

−5.02

−5.13

−1.05

−2.36

−5.02

−5.13

−1.02

−2.35

−5.01

−5.12

50−1−4

−1.10

−2.45

−5.03

−5.13

−1.07

−2.44

−5.03

−5.15

−1.07

−2.43

−5.03

−5.14

−1.06

−2.38

−5.02

−5.14

−1.05

−2.34

−5.02

−5.11

50−2−3

−1.11

−2.43

−5.04

−5.15

−1.06

−2.42

−5.02

−5.17

−1.05

−2.39

−5.01

−5.16

−1.04

−2.37

−5.03

−5.14

−1.08

−2.36

−5.01

−5.12

150−0−1

−1.09

−2.43

−5.06

−5.16

−1.10

−2.42

−5.02

−5.16

−1.10

−2.41

−5.02

−5.16

−1.06

−2.43

−5.04

−5.16

−1.12

−2.42

−5.02

−5.13

150−1−3

−1.11

−2.44

−5.03

−5.17

−1.11

−2.46

−5.03

−5.14

−1.12

−2.45

−5.03

−5.17

−1.08

−2.45

−5.04

−5.17

−1.15

−2.45

−5.03

−5.18

150−2−0

−1.13

−2.45

−5.04

−5.17

−1.12

−2.45

−5.01

−5.18

−1.06

−2.44

−5.01

−5.14

−1.10

−2.46

−5.03

−5.15

−1.13

−2.39

−5.04

−5.17

250−0−0

−1.12

−2.44

−5.06

−5.16

−1.19

−2.42

−5.02

−5.17

−1.12

−2.46

−5.04

−5.15

−1.11

−2.45

−5.02

−5.16

−1.16

−2.41

−5.02

−5.15

250−1−3

−1.13

−2.41

−5.04

−5.14

−1.13

−2.45

−5.04

−5.16

−1.13

−2.42

−5.05

−5.17

−1.09

−2.43

−5.01

−5.13

−1.08

−2.40

−5.01

−5.14

250−2−2

−1.12

−2.42

−5.03

−5.16

−1.12

−2.44

−5.03

−5.15

−1.14

−2.43

−5.02

−5.14

−1.12

−2.42

−5.03

−5.17

−1.09

−2.43

−5.03

−5.16