2002
DOI: 10.1007/s101070100209
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A branch and cut approach to the cardinality constrained circuit problem

Abstract: Abstract. The Cardinality Constrained Circuit Problem (CCCP) is the problem of finding a minimum cost circuit in a graph where the circuit is constrained to have at most k edges. The CCCP is NP-Hard. We present classes of facet-inducing inequalities for the convex hull of feasible circuits, and a branch-and-cut solution approach using these inequalities.

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Cited by 26 publications
(32 citation statements)
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“…The constraints (5), called rounded capacity (RC) inequalities, prevent the existence of infeasible routes, and also have the side-effect of preventing subtours. Finally, (6) are the integrality conditions on the x-variables. Many classes of valid inequalities have been presented for the integer polytope associated with the formulation (2)-(6).…”
Section: The Two-index Formulationmentioning
confidence: 99%
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“…The constraints (5), called rounded capacity (RC) inequalities, prevent the existence of infeasible routes, and also have the side-effect of preventing subtours. Finally, (6) are the integrality conditions on the x-variables. Many classes of valid inequalities have been presented for the integer polytope associated with the formulation (2)-(6).…”
Section: The Two-index Formulationmentioning
confidence: 99%
“…The constraints (13)- (15) themselves, and the bounds 0 ≤ x k ij ≤ 1 and 0 ≤ y k i ≤ 1, are trivial examples of one-vehicle inequalities. Other inequalities for the capacitated circuit polytope can be found in Bauer et al [6] and Bixby et al [7].…”
Section: Proposition 4 If We Relax the Equationsmentioning
confidence: 99%
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“…Finally, let c = (3, n). Beside d n + 1 Hamiltonian cycles, consider the 3-cycles (1, 3), (3,4), (4, 1) and {(1, 2), (2, j), (j, 1)}, j = 3, . .…”
Section: Introductionmentioning
confidence: 99%
“…In the early years of integer optimization, considerable research activity was focused on identifying part (or all) of the list of facets for specific combinatorial optimization problems by exploiting the special structure of conv(S) (Balas and Padberg 1972;Balas 1975;Bauer et al 2002;Hammer et al 1975;Nemhauser and Sigismondi 1992;Nemhauser and Trotter 1974;Nemhauser and Vance 1994;Padberg 1973Padberg , 1974Padberg , 1979aPochet and Wolsey 1991;Wolsey 1975Wolsey , 1976. This led to a wide variety of problem-dependent algorithms that are nevertheless based on the underlying principle embodied in Weyl's theorem.…”
Section: Advanced Proceduresmentioning
confidence: 99%