Joint-constrained geometric optimization on POJ problem
29.03Objective ValueThe neurodynamic Duplex
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| The neurodynamic DuplexK=52026.02 | 29.03 | 1 | 6.77 | |
| The Alternate Convex SearchK=52026.02 | 31.14 | 4 | — | |
| The neurodynamic DuplexK=102026.02 | 50.23 | 1 | 3.47 | |
| The Alternate Convex SearchK=102026.02 | 52.04 | 3 | — | |
| The neurodynamic DuplexK=152026.02 | 66.03 | 0 | 3.82 | |
| The Alternate Convex SearchK=152026.02 | 68.66 | 4 | — | |
| The neurodynamic DuplexK=202026.02 | 123.48 | 1 | 1.48 | |
| The Alternate Convex SearchK=202026.02 | 125.34 | 5 | — | |
| The neurodynamic DuplexK=302026.02 | 187.55 | 1 | 0.95 | |
| The Alternate Convex SearchK=302026.02 | 189.36 | 4 | — | |
| The Alternate Convex SearchK=402026.02 | 210.43 | 4 | — | |
| The neurodynamic DuplexK=402026.02 | 213.89 | 2 | 1.61 |