hhc-tsp/test-output2.txt

Graph: 
0.00, 1169.81, 464.59, 945.75, 1282.33, 1037.66, 640.89, 335.29, 111.67, 1142.56, 876.33, 845.31, 1211.84, 587.31, 735.31, 497.33, 994.87, 922.07, 767.10, 1206.08, 
1169.81, 0.00, 722.99, 682.83, 191.14, 527.48, 777.24, 929.62, 1122.63, 195.17, 605.52, 512.54, 221.44, 833.01, 862.90, 703.24, 856.59, 540.04, 634.58, 278.41, 
464.59, 722.99, 0.00, 724.38, 859.17, 599.15, 302.60, 218.49, 402.17, 732.89, 621.64, 398.11, 747.67, 294.91, 643.37, 234.41, 848.21, 485.90, 527.86, 813.31, 
945.75, 682.83, 724.38, 0.00, 637.37, 1033.19, 987.82, 912.29, 968.32, 509.20, 110.33, 883.65, 881.27, 1003.66, 270.07, 509.33, 176.62, 969.29, 197.94, 488.88, 
1282.33, 191.14, 859.17, 637.37, 0.00, 718.08, 951.89, 1073.97, 1248.13, 148.33, 586.96, 697.31, 390.07, 1004.07, 862.04, 793.34, 797.85, 730.02, 646.87, 152.85, 
1037.66, 527.48, 599.15, 1033.19, 718.08, 0.00, 429.37, 711.89, 949.07, 688.28, 927.00, 202.18, 362.68, 495.69, 1097.48, 749.46, 1204.22, 115.60, 891.82, 786.43, 
640.89, 777.24, 302.60, 987.82, 951.89, 429.37, 0.00, 305.61, 540.80, 858.29, 879.23, 283.82, 711.61, 66.61, 940.60, 532.22, 1128.59, 321.60, 799.37, 953.47, 
335.29, 929.62, 218.49, 912.29, 1073.97, 711.89, 305.61, 0.00, 237.99, 950.40, 816.13, 528.89, 927.99, 253.89, 785.04, 403.11, 1016.59, 597.07, 714.52, 1031.72, 
111.67, 1122.63, 402.17, 968.32, 1248.13, 949.07, 540.80, 237.99, 0.00, 1113.40, 889.10, 762.34, 1146.42, 484.14, 780.69, 486.64, 1035.62, 833.92, 780.22, 1183.88, 
1142.56, 195.17, 732.89, 509.20, 148.33, 688.28, 858.29, 950.40, 1113.40, 0.00, 447.69, 626.97, 415.82, 905.04, 719.84, 649.85, 677.65, 676.77, 500.88, 99.83, 
876.33, 605.52, 621.64, 110.33, 586.96, 927.00, 879.23, 816.13, 889.10, 447.69, 0.00, 774.18, 793.21, 896.67, 276.70, 415.77, 277.38, 860.62, 109.33, 447.88, 
845.31, 512.54, 398.11, 883.65, 697.31, 202.18, 283.82, 528.89, 762.34, 626.97, 774.18, 0.00, 427.82, 347.93, 916.77, 551.90, 1047.64, 95.72, 723.98, 726.38, 
1211.84, 221.44, 747.67, 881.27, 390.07, 362.68, 711.61, 927.99, 1146.42, 415.82, 793.21, 427.82, 0.00, 775.20, 1030.70, 795.38, 1057.48, 415.82, 802.10, 499.04, 
587.31, 833.01, 294.91, 1003.66, 1004.07, 495.69, 66.61, 253.89, 484.14, 905.04, 896.67, 347.93, 775.20, 0.00, 938.28, 529.17, 1137.55, 388.20, 811.29, 998.51, 
735.31, 862.90, 643.37, 270.07, 862.04, 1097.48, 940.60, 785.04, 780.69, 719.84, 276.70, 916.77, 1030.70, 938.28, 0.00, 409.27, 260.66, 1010.99, 229.37, 724.57, 
497.33, 703.24, 234.41, 509.33, 793.34, 749.46, 532.22, 403.11, 486.64, 649.85, 415.77, 551.90, 795.38, 529.17, 409.27, 0.00, 618.90, 647.39, 311.83, 709.32, 
994.87, 856.59, 848.21, 176.62, 797.85, 1204.22, 1128.59, 1016.59, 1035.62, 677.65, 277.38, 1047.64, 1057.48, 1137.55, 260.66, 618.90, 0.00, 1135.78, 330.72, 646.05, 
922.07, 540.04, 485.90, 969.29, 730.02, 115.60, 321.60, 597.07, 833.92, 676.77, 860.62, 95.72, 415.82, 388.20, 1010.99, 647.39, 1135.78, 0.00, 814.86, 776.56, 
767.10, 634.58, 527.86, 197.94, 646.87, 891.82, 799.37, 714.52, 780.22, 500.88, 109.33, 723.98, 802.10, 811.29, 229.37, 311.83, 330.72, 814.86, 0.00, 519.68, 
1206.08, 278.41, 813.31, 488.88, 152.85, 786.43, 953.47, 1031.72, 1183.88, 99.83, 447.88, 726.38, 499.04, 998.51, 724.57, 709.32, 646.05, 776.56, 519.68, 0.00, 
Epsilon = 187.0
MST: 
0: (8, 111.67), 
1: (12, 221.44), (4, 191.14), 
2: (7, 218.49), (15, 234.41), 
3: (10, 110.33), (16, 176.62), 
4: (1, 191.14), (9, 148.33), 
5: (17, 115.60), (12, 362.68), 
6: (13, 66.61), (11, 283.82), 
7: (8, 237.99), (2, 218.49), (13, 253.89), 
8: (0, 111.67), (7, 237.99), 
9: (4, 148.33), (19, 99.83), 
10: (18, 109.33), (3, 110.33), 
11: (6, 283.82), (17, 95.72), 
12: (5, 362.68), (1, 221.44), 
13: (7, 253.89), (6, 66.61), 
14: (18, 229.37), 
15: (2, 234.41), (18, 311.83), 
16: (3, 176.62), 
17: (11, 95.72), (5, 115.60), 
18: (15, 311.83), (10, 109.33), (14, 229.37), 
19: (9, 99.83), 

Removed Edges = List(HHCEdge2(1,12,221.437941520422), HHCEdge2(1,4,191.1371918225627), HHCEdge2(2,7,218.49036137013215), HHCEdge2(2,15,234.40677699868428), HHCEdge2(4,1,191.1371918225627), HHCEdge2(5,12,362.6802853094028), HHCEdge2(6,11,283.817433688036), HHCEdge2(7,8,237.98544482631425), HHCEdge2(7,2,218.49036137013215), HHCEdge2(7,13,253.88652915186032), HHCEdge2(8,7,237.98544482631425), HHCEdge2(11,6,283.817433688036), HHCEdge2(12,5,362.6802853094028), HHCEdge2(12,1,221.437941520422), HHCEdge2(13,7,253.88652915186032), HHCEdge2(14,18,229.36669205588458), HHCEdge2(15,2,234.40677699868428), HHCEdge2(15,18,311.8336340813276), HHCEdge2(18,15,311.8336340813276), HHCEdge2(18,14,229.36669205588458))
MST: 
0: (8, 111.67), 
1: 
2: 
3: (10, 110.33), (16, 176.62), 
4: (9, 148.33), 
5: (17, 115.60), 
6: (13, 66.61), 
7: 
8: (0, 111.67), 
9: (4, 148.33), (19, 99.83), 
10: (18, 109.33), (3, 110.33), 
11: (17, 95.72), 
12: 
13: (6, 66.61), 
14: 
15: 
16: (3, 176.62), 
17: (11, 95.72), (5, 115.60), 
18: (10, 109.33), 
19: (9, 99.83), 
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 7 
Cluster-8: 12 
Cluster-9: 14 
Cluster-10: 15 
Neighbours: 
Cluster-0: (7, 237.99), 
Cluster-1: (4, 191.14), (8, 221.44), 
Cluster-2: (7, 218.49), (10, 234.41), 
Cluster-3: (9, 229.37), (10, 311.83), 
Cluster-4: (1, 191.14), 
Cluster-5: (8, 362.68), 
Cluster-6: (5, 283.82), 
Cluster-7: (2, 218.49), (0, 237.99), (6, 253.89), 
Cluster-8: (1, 221.44), (5, 362.68), 
Cluster-9: (3, 229.37), 
Cluster-10: (2, 234.41), (3, 311.83), 
Initial order: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 42.29, 55.81, 23.83, 55.61)
Current order [2, 1, 9, 7, 10, 8, 4, 6, 0, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=10
Chosen cluster = 3
Nearest neighbour = 9
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 7 
Cluster-8: 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 42.29, 55.81, 112.740005, 55.61)
Current order [2, 1, 7, 10, 8, 4, 6, 9, 0, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=9
Chosen cluster = 5
Nearest neighbour = 8
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 42.29, 89.44, 112.740005, 55.61)
Current order [2, 1, 7, 10, 4, 6, 8, 9, 0, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=8
Chosen cluster = 0
Nearest neighbour = 7
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=6
Chosen cluster = 9
Nearest neighbour = 3
3 10 - 
weight = 110.32563662919385
3 18 - 
weight = 197.93532036986213
3 16 - 
weight = 176.6244692117106
10 18 - 
weight = 109.32984942622367
10 16 - 
weight = 277.38062276155625
18 16 - 
weight = 330.7167343396919
Pairwise average = 200.3854387897064
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=10
Chosen cluster = 3
Nearest neighbour = 9
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=10
Chosen cluster = 3
Nearest neighbour = 9
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=9
Chosen cluster = 5
Nearest neighbour = 8
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=9
Chosen cluster = 5
Nearest neighbour = 8
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=9
Chosen cluster = 5
Nearest neighbour = 8
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15 
ArraySeq(115.13, 21.65, 2.66, 338.0, 66.130005, 136.32, 79.13, 125.17, 89.44, 112.740005, 55.61)
Current order [2, 1, 10, 4, 6, 8, 9, 0, 7, 5, 3]
maxWL = 338.0, minWL = 2.66
WLD = 335.34
Rand Num=9
Chosen cluster = 5
Nearest neighbour = 8
Pairwise average = 0.0
Average less than epsilonMax. Updating Clusters.
Clusters:
Cluster-0: 0 8 
Cluster-1: 1 
Cluster-2: 2 
Cluster-3: 3 10 18 16 
Cluster-4: 4 9 19 
Cluster-5: 5 17 11 
Cluster-6: 6 13 
Cluster-7: 0 7 
Cluster-8: 5 12 
Cluster-9: 3 14 
Cluster-10: 15