Table 6 Calculation results of relevant classical algorithms.

From: A new approach for bin packing problem using knowledge reuse and improved heuristic

Problem instance

OMCRL 6

ST-PSO46

RKGA-NP63

GABL64

Best

(%)

Avg

(%)

Best

(%)

Avg

(%)

Time

(s)

Best

(%)

Avg

(%)

Time

(s)

Best

(%)

Avg

(%)

200T-3041

/

/

84.6

82.99

58.83

/

/

/

/

/

200T-3054

/

/

76.3

75.48

29.3

/

/

 

/

/

M8-1007

/

/

87.5

86.57

83.72

/

/

/

/

/

200T-3010

/

/

73.8

71.57

52.0

/

/

/

/

/

FJ200

/

/

/

/

/

/

/

/

/

/

Dighe1

77.02

76.94

73.6

72.44

5.44

100.00

99.96

2053

87.31

85.01

Dighe2

76.20

76.14

/

/

/

100.00

99.99

2291

86.92

81.42

Fu

77.50

77.23

/

/

/

/

/

/

83.82

82.22

Jakobs1

74.56

74.52

80.5

79.65

38.76

81.67

78.79

10,268

80.46

76.50

Jakobs2

68.20

68.00

/

/

/

79.75

77.90

12,205

71.24

69.69

Marques

77.72

77.61

84.4

83.67

3.90

84.47

84.31

6871

84.14

83.55

Shapes0

57.35

57.09

/

/

/

67.25

63.50

1826

57.11

56.59

Shapes1

57.35

57.15

65.9

65.24

3.61

66.37

65.98

3025

63.33

63.03

Shirts

78.71

78.56

/

/

/

/

/

/

71.04

70.65

Swim

64.41

64.23

/

/

/

73.59

70.78

14,352

67.61

66.81

Trousers

78.09

77.84

/

/

/

90.91

88.67

16,025

86.43

86.06