2015
DOI: 10.1002/rsa.20600
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A domination algorithm for {0,1}‐instances of the travelling salesman problem

Abstract: ABSTRACT:We present an approximation algorithm for {0, 1}-instances of the travelling salesman problem which performs well with respect to combinatorial dominance. More precisely, we give a polynomial-time algorithm which has domination ratio 1 − n −1/29 . In other words, given a {0, 1}-edge-weighting of the complete graph K n on n vertices, our algorithm outputs a Hamilton cycle H * of K n with the following property: the proportion of Hamilton cycles of K n whose weight is smaller than that of H * is at most… Show more

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Cited by 3 publications
(2 citation statements)
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“…Travelling Salesman Problem Below Average (TSP BA ) Instance : (n, w, k), where n, k ∈ N and w : E(K n ) → Z Question : Is there a Hamilton cycle H * of K n satisfying w(H * ) ≤ dn−k? Theorem 1.1 is proved by applying a combination of probabilistic, combinatorial, and algorithmic techniques, some of which are inspired by [11].…”
Section: (And Outputs Such a Hamilton Cycle If It Exists) In Timementioning
confidence: 99%
See 1 more Smart Citation
“…Travelling Salesman Problem Below Average (TSP BA ) Instance : (n, w, k), where n, k ∈ N and w : E(K n ) → Z Question : Is there a Hamilton cycle H * of K n satisfying w(H * ) ≤ dn−k? Theorem 1.1 is proved by applying a combination of probabilistic, combinatorial, and algorithmic techniques, some of which are inspired by [11].…”
Section: (And Outputs Such a Hamilton Cycle If It Exists) In Timementioning
confidence: 99%
“…By an algorithmic version of Dirac's Theorem (see e.g. [11] Lemma 5.11), we can find, in time O(n 3 ), a Hamilton cycle H of K 0 w [X ′ ] ∪ {e 1 , . .…”
Section: Then We Can Find a Minimum Weight Hamilton Cyclementioning
confidence: 99%