1994
DOI: 10.1002/net.3230240208
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Edge‐maximal triangulated subgraphs and heuristics for the maximum clique problem

Abstract: In this paper, we present a polynomial algorithm that finds an edge-maximal triangulated subgraph of an arbitrary graph. Then, we use this algorithm as a heuristic for the maximum (weight) clique problem. Finally, a local search routine is incorporated into our heuristic. Computational results comparing our algorithm with two existing edge-maximal triangulated subgraph algorithms in the literature show that the subgraphs found by our algorithm tend to contain more edges as well as a better clique of the origin… Show more

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Cited by 29 publications
(21 citation statements)
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“…We should mention that this problem is solvable in time O( m), where is the highest degree in the input graph [3,36,83]. An interesting question is whether faster algorithms for it can be found.…”
Section: Discussionmentioning
confidence: 97%
“…We should mention that this problem is solvable in time O( m), where is the highest degree in the input graph [3,36,83]. An interesting question is whether faster algorithms for it can be found.…”
Section: Discussionmentioning
confidence: 97%
“…We denote by LBX (°LBP) the cost of the feasible solution of problem WNP obtained by means of the heuristic algorithm proposed by Xue (1994).…”
Section: Generation Of Graph G å (X E)mentioning
confidence: 99%
“…Some heuristics for ÿnding a large clique (see, e.g., [39]) aim to ÿnd a maximum chordal subgraph of the input graph, on which a maximum clique can be found in polynomial time.…”
Section: Motivationmentioning
confidence: 99%