Table 9 The comparison results for swarm evolution algorithms and BTLSBWC.

From: An efficient swarm evolution algorithm with probability learning for the black and white coloring problem

Instance

b

Swarm-E-1

Swarm-E-2

BTLSBWC

best

best

best

C15 \({ \boxtimes }\) C11

20

123

123

123

C15 \({ \boxtimes }\) C11

21

121

120

120

C15 \({ \boxtimes }\) C11

25

116

116

116

C15 \({ \boxtimes }\) C11

28

113

111

113

C15 \({ \boxtimes }\) C11

70

71

71

71

C15 \({ \boxtimes }\) C11

99

44

44

44

C15 \({ \boxtimes }\) C11

100

41

41

41

C15 \({ \boxtimes }\) C11

120

21

22

22

C15 \({ \boxtimes }\) C11

125

18

18

18

C15 \({ \boxtimes }\) C11

141

8

8

8

C21 \({ \boxtimes }\) C20

80

300

298

300

C21 \({ \boxtimes }\) C20

100

280

276

280

le450_25a.col

50

253

246

240

le450_25a.col

60

211

204

201

le450_25a.col

70

163

159

153

le450_25a.col

80

141

119

115

le450_25a.col

90

124

94

88

le450_25a.col

100

117

77

68

le450_25a.col

110

108

59

50

le450_25a.col

120

99

49

41

le450_25a.col

130

95

39

32

le450_25a.col

140

88

32

25

le450_25a.col

150

86

25

22

le450_25a.col

160

78

20

17

le450_25a.col

170

74

16

13

le450_25a.col

180

67

13

13

le450_25a.col

190

61

11

9

le450_25a.col

200

58

10

8

le450_15c.col

50

51

12

12

le450_15c.col

60

43

8

8

le450_15c.col

70

34

6

5

le450_15c.col

80

31

4

3

le450_15c.col

90

16

3

1

le450_15c.col

100

9

2

0