Stochastic Orienteering on TSPLIB Real-world graphs 95
79.43Reward (R)N(CO)2+AS Heuristic
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| N(CO)2+AS HeuristicTest Case=a280, Budget=1289, Pf=0.1, iterations=1002026.06 | 79.43 | 9 | 57.69 | 0.044 | 57.09 | 0.56 | |
| N(CO)2+AS HeuristicTest Case=a280, Budget=1289, Pf=0.05, iterations=1002026.06 | 75.93 | 5 | 61.9 | 0.055 | 61.26 | 0.58 | |
| N(CO)2+AS HeuristicTest Case=tsp225, Budget=1958, Pf=0.1, iterations=1002026.06 | 69.79 | 11 | 31.35 | 0.025 | 31.04 | 0.29 | |
| N(CO)2+AS HeuristicTest Case=tsp225, Budget=1958, Pf=0.05, iterations=1002026.06 | 68.29 | 6 | 31.44 | 0.028 | 31.44 | 0.29 | |
| Baseline HeuristicTest Case=a280, Budget=1289, Pf=0.12026.06 | 63.21 | 10 | 0.23 | — | — | — | |
| Baseline HeuristicTest Case=a280, Budget=1289, Pf=0.052026.06 | 62.41 | 5 | 0.26 | — | — | — | |
| MILPTest Case=a280, Budget=1289, Pf=0.12026.06 | 62.25 | 9 | 836 | — | — | — | |
| MILPTest Case=tsp225, Budget=1958, Pf=0.052026.06 | 61.46 | 10 | 370 | — | — | — | |
| MILPTest Case=tsp225, Budget=1958, Pf=0.12026.06 | 61.01 | 11 | 704 | — | — | — | |
| MILPTest Case=a280, Budget=1289, Pf=0.052026.06 | 58.22 | 5 | 939 | — | — | — | |
| Baseline HeuristicTest Case=tsp225, Budget=1958, Pf=0.12026.06 | 54.79 | 10 | 0.18 | — | — | — | |
| Baseline HeuristicTest Case=tsp225, Budget=1958, Pf=0.052026.06 | 53.86 | 6 | 0.18 | — | — | — | |
| MILPTest Case=ch150, Budget=3264, Pf=0.052026.06 | 43.85 | 11 | 738 | — | — | — | |
| MILPTest Case=ch150, Budget=3264, Pf=0.12026.06 | 43.11 | 16 | 452 | — | — | — | |
| N(CO)2+AS HeuristicTest Case=ch150, Budget=3264, Pf=0.1, iterations=1002026.06 | 42.23 | 8 | 11.55 | 0.014 | 11.33 | 0.21 | |
| N(CO)2+AS HeuristicTest Case=ch150, Budget=3264, Pf=0.05, iterations=1002026.06 | 41.71 | 5 | 11.64 | 0.014 | 11.41 | 0.22 | |
| Baseline HeuristicTest Case=ch150, Budget=3264, Pf=0.12026.06 | 35.39 | 6 | 0.11 | — | — | — | |
| Baseline HeuristicTest Case=ch150, Budget=3264, Pf=0.052026.06 | 34.91 | 3 | 0.11 | — | — | — | |
| MILPTest Case=eil101, Budget=314, Pf=0.12026.06 | 32.99 | 13 | 736 | — | — | — | |
| MILPTest Case=eil101, Budget=314, Pf=0.052026.06 | 32.51 | 8 | 326 | — | — | — | |
| N(CO)2+AS HeuristicTest Case=eil101, Budget=314, Pf=0.1, iterations=1002026.06 | 32.23 | 10 | 6.31 | 0.007 | 6.18 | 0.13 | |
| N(CO)2+AS HeuristicTest Case=eil101, Budget=314, Pf=0.05, iterations=1002026.06 | 31.44 | 5 | 6.87 | 0.008 | 6.73 | 0.13 | |
| Baseline HeuristicTest Case=eil101, Budget=314, Pf=0.12026.06 | 22.43 | 11 | 0.08 | — | — | — | |
| Baseline HeuristicTest Case=eil101, Budget=314, Pf=0.052026.06 | 21.53 | 6 | 0.07 | — | — | — | |
| N(CO)2+AS HeuristicTest Case=st70, Budget=337, Pf=0.1, iterations=1002026.06 | 16.91 | 10 | 4.2 | 0.005 | 4.12 | 0.08 | |
| MILPTest Case=berlin52, Budget=3771, Pf=0.12026.06 | 16.57 | 10 | 56 | — | — | — | |
| MILPTest Case=st70, Budget=337, Pf=0.12026.06 | 16.54 | 14 | 216 | — | — | — | |
| N(CO)2+AS HeuristicTest Case=st70, Budget=337, Pf=0.05, iterations=1002026.06 | 16.51 | 5 | 4.11 | 0.005 | 4.03 | 0.08 | |
| N(CO)2+AS HeuristicTest Case=berlin52, Budget=3771, Pf=0.1, iterations=1002026.06 | 16.42 | 8 | 3 | 0.004 | 2.95 | 0.06 | |
| MILPTest Case=st70, Budget=337, Pf=0.052026.06 | 15.93 | 7 | 333 | — | — | — | |
| MILPTest Case=berlin52, Budget=3771, Pf=0.052026.06 | 15.91 | 6 | 22 | — | — | — | |
| N(CO)2+AS HeuristicTest Case=berlin52, Budget=3771, Pf=0.05, iterations=1002026.06 | 14.98 | 5 | 3.14 | 0.004 | 3.08 | 0.06 | |
| Baseline HeuristicTest Case=st70, Budget=337, Pf=0.12026.06 | 13.3 | 7 | 0.06 | — | — | — | |
| Baseline HeuristicTest Case=berlin52, Budget=3771, Pf=0.12026.06 | 12.81 | 9 | 0.04 | — | — | — | |
| Baseline HeuristicTest Case=st70, Budget=337, Pf=0.052026.06 | 12.52 | 5 | 0.05 | — | — | — | |
| Baseline HeuristicTest Case=berlin52, Budget=3771, Pf=0.052026.06 | 12.24 | 5 | 0.04 | — | — | — |