Table 5 The test results of the algorithms on large “rooks” graphs.

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

Instance

|V|

b

Swarm-E-1

Swarm-E-2

VNS1

VNS2

best

avg

time(s)

best

avg

time(s)

best

avg

time(s)

best

avg

time(s)

K35K30

1050

15

810

806

13.18

650

618

232.71

644

619

620.59

667

625

1321.44

K35K30

1050

20

780

780

417.96

576

523

0.09

528

508

1347.52

550

515

283.72

K35K30

1050

25

750

746

823.23

468

425

1349.92

440

423

729.55

441

426

527.51

K40K35

1400

16

1116

1114

107.43

928

864

1568.54

870

845

1122.15

868

845

1279.32

K40K35

1400

21

1054

1051

415.50

780

740

746.17

754

704

1114.96

756

713

717.67

K40K35

1400

30

1015

986

1151.88

576

544

0.27

575

512

376.06

552

525

354.87

K50K45

2250

22

1804

1799

791.83

1505

1320

0.64

1258

1231

819.54

1295

1239

782.22

K50K45

2250

26

1760

1755

697.43

1224

1185

0.64

1152

1103

1029.51

1147

1107

1178.33

K50K45

2250

35

1677

1638

1379.79

990

922

0.50

899

830

536.16

900

846

264.55

K60K55

3300

30

2650

2601

1041.22

1892

1804

1.78

1640

1599

637.14

1677

1630

1306.60

K60K55

3300

35

2597

2498

1652.49

1681

1602

1.84

1444

1412

1276.95

1517

1433

505.38

K60K55

3300

40

2444

2376

1535.53

1640

1440

1.93

1287

1242

221.85

1320

1265

862.92

K70K65

4550

35

3658

3515

1535.94

2597

2522

3.18

2250

2167

1308.76

2256

2176

1408.75

K70K65

4550

45

3294

3125

1690.76

2256

2105

3.81

1764

1728

226.31

1845

1745

313.55

K70K65

4550

50

3127

2919

1719.40

2025

1908

4.63

1599

1543

1020.37

1656

1559

1354.37

Instance

|V|

b

SA

Greedy_One

Greedy_Two

 

best

avg

time(s)

best

avg

time(s)

best

avg

time(s)

   

K35K30

1050

15

810

810

160.52

775

743

1417.50

510

510

23.60

   

K35K30

1050

20

780

770

793.63

713

693

1090.17

340

340

32.34

   

K35K30

1050

25

728

727

585.11

696

662

1333.59

170

170

40.18

   

K40K35

1400

16

1116

1114

640.42

1050

1026

157.42

741

741

52.70

   

K40K35

1400

21

1054

1054

225.11

1015

974

1346.23

546

546

68.89

   

K40K35

1400

30

992

982

1715.83

952

893

353.22

195

195

97.46

   

K50K45

2250

22

1804

1795

687.34

1755

1667

1015.46

1127

1127

231.81

   

K50K45

2250

26

1760

1734

961.77

1672

1615

1772.75

931

931

272.53

   

K50K45

2250

35

1638

1627

792.13

1591

1496

359.94

490

490

365.65

   

K60K55

3300

30

2600

2586

882.03

2538

2406

1263.44

1475

1475

811.66

   

K60K55

3300

35

2550

2503

470.58

2444

2318

368.21

1180

1180

945.50

   

K60K55

3300

40

2499

2433

55.47

2376

2261

234.25

885

885

1077.44

   

K70K65

4550

35

3654

3577

1388.14

3510

3250

1695.20

0

0

   

K70K65

4550

45

3480

3334

1309.96

3315

2974

1352.35

0

0

   

K70K65

4550

50

3416

3318

63.96

3315

2833

1310.49

0

0