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12
votes
0
answers
221
views
What is known about G. A. Croes
G. A. Croes is the author of the first description of the 2-opt moves heuristic for improving non-optimal traveling salesman tours:
Croes, G. A. “A Method for Solving Traveling-Salesman Problems.” Op …
0
votes
0
answers
26
views
Monotony of enforced subtour merging
Is it true that for a symmetric TSP instance in the sequence of edges generated by successively:
calculating the optimal 2-factor
adding cardinality constraints on the edgesets of the 2-factor's conn …
1
vote
0
answers
48
views
Complexity of the TSP for hypercube graphs
Question:
what is known about the complexity of finding the Hamilton cycle of minimum weight in graphs that resemble hypercubes with weighted edges?
2
votes
1
answer
124
views
Constructing optimal Hamilton cycles from optimal Hamilton paths
Question:
can the shortest Hamilton cycle in a complete symmetric graph with weighted edges be constructed from the shortest Hamilton path in the same graph by connecting its ends and then exchanging …
3
votes
1
answer
158
views
Fastest algorithm for calculating optimal tours in weighted $K_5$
Weighted $K_5$ have the unique property that their edge set can be interpreted as the disjoint union of their shortest and their longest Hamilton cycle.
That makes $K_5$ attractive for designing new T …
-2
votes
2
answers
146
views
Greedy euclidean tour expansion - a case of unexpected hanging?
In the euclidean plane an common heuristic for the TSP is to start with the convex hull of the point set and then successively integrate as the next point and insertion position the combination that i …
2
votes
References for geometric properties of optimal Euclidean traveling salesman tour
You must be careful with what you are actually asking for; the criteria you give as examples are valid for every simple polygon and do not characterize simple polygons of shortest perimeter with a giv …
1
vote
Characterization of greedy TSPs?
A simple "a posteriori" criterion is that on the optimal tour the distances to the tour-neighbors is smaller than that to any of the other vertices.
Convexity alone doesn't suffice as the example of e …
0
votes
0
answers
26
views
Are there any examples of "autonomous" TSP heuristics
By "autonomous" TSP heuristic I mean algorithms whose reported edge-set for a short Hamilton cycle is invariant under the addition of vertex weights;
the terminology is borrowed from differential equa …
1
vote
0
answers
33
views
How to chose the start vector for the MTZ variables
In the context of LP-formulations for the Traveling Salesman Problem the MTZ constraints prevent subtours via $n$ (i.e. effectively $n-1$) additional variables $$u_1=1\\2\le u_2,\,\dots ,\,u_n\le n\\ …
0
votes
0
answers
40
views
Subtour-gluing constraints for ILP formulation of TSPs
If one doesn't want to introduce additional variables to the ILP of a TSP instance, one has to add exponentially many so-called subtour-elimination constraints; in practical calculations subtour-elimi …
1
vote
1
answer
80
views
Do we really need degree constraints for ILP formulations of TSP problems
The Dantzig-Fulkerson ILP-formulation of the symmetric TSP is
$$\min\sum\limits_{i=1}^{n-1}\sum\limits_{j=i+1}^n c_{ij}x_{\lbrace i,j\rbrace}\quad\text{s.t.}\\ \sum\limits_{j\ne i,\,j=1}^n x_{\lbrace …
0
votes
0
answers
62
views
Degree-constraints for the existence of vertex-disjoint directed cycle covers in digraphs
Given a digraph $G(E,V): (u,v)\in E\implies(v,u)\notin E$, what is known about lower bounds on the indegree and outdegree of the vertices that guarantee the existence of a vertex-disjoint directed cyc …
0
votes
$\mathrm{LP}$ formulation for $\mathrm{k}$-$\operatorname{opt}$ moves
For a simplified formulation of necessary constraints for $\mathrm{k}$ moves it is assumed that the vertices have been relabeled so that $0,\,\dots,\,n-1$ reflects the order in which they are encounte …
-1
votes
1
answer
241
views
Helsgaun's $k$-Opt moves
In his 2009 paper General k-opt submoves for the Lin–Kernighan TSP
heuristic, Helsgaun defines the local tour improvements on which the LKH heuristics are based as:
with a cycle defined here:
which …