Minimum TSP (The Traveling-Salesman Problem)
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Description
In Minimum TSP, you are given a set $C$ of cities and distances between each distinct pair of cities. The goal is to find an ordering or tour of the cities, such that you visit each city exactly once and return to the origin city, that minimizes the length of the tour. This is the typical variation of TSP.
Related Problems
Related: Maximum TSP, Approximate TSP
Parameters
V: number of cities (nodes)
E: number of roads (edges)
Table of Algorithms
| Name | Year | Time | Space | Approximation Factor | Model | Reference |
|---|---|---|---|---|---|---|
| Miller-Tucker-Zemlin (MTZ) formulation | 1960 | $exp(V)$ | $O(V^{4})$ | Exact | Deterministic | Time |
| Dantzig-Fulkerson-Johnson (DFJ) formulation | 1954 | $O({1.674}^V E^{2})$ | $O({2}^V)$ | Exact | Deterministic | Time & Space |
| Johnson; D. S.; McGeoch; L. A. | 1997 | $O({2}^{(p(n)$}) | Deterministic | Time | ||
| Gutina; Gregory; Yeob; Anders; Zverovich; Alexey | 2002 | - | Deterministic | Time | ||
| Held–Karp algorithm | 1962 | $O(V^{2} {2}^V)$ | $O(V*{2}^V)$ | Exact | Deterministic | Time |
| Lawler; E. L. | 1985 | $O({1.674}^V E^{2})$ | Exact | Deterministic | Time | |
| TSPLIB | 1991 | $O({2}^V logE)$ | Exact | Deterministic | Time |
Time Complexity Graph
Space Complexity Graph
Space-Time Tradeoff Improvements
