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On disjunctive cuts for combinatorial optimization

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On disjunctive cuts for combinatorial optimization. / Letchford, A. N.
In: Journal of Combinatorial Optimization, Vol. 5, No. 3, 09.2001, p. 299-315.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Letchford, AN 2001, 'On disjunctive cuts for combinatorial optimization', Journal of Combinatorial Optimization, vol. 5, no. 3, pp. 299-315. https://doi.org/10.1023/A:1011493126498

APA

Vancouver

Letchford AN. On disjunctive cuts for combinatorial optimization. Journal of Combinatorial Optimization. 2001 Sept;5(3):299-315. doi: 10.1023/A:1011493126498

Author

Letchford, A. N. / On disjunctive cuts for combinatorial optimization. In: Journal of Combinatorial Optimization. 2001 ; Vol. 5, No. 3. pp. 299-315.

Bibtex

@article{01e4b63110ef4d9a96598d1afe23e4d5,
title = "On disjunctive cuts for combinatorial optimization",
abstract = "In the successful branch-and-cut approach to combinatorial optimization, linear inequalities are used as cutting planes within a branch-and-bound framework. Although researchers often prefer to use facet-inducing inequalities as cutting planes, good computational results have recently been obtained using disjunctive cuts, which are not guaranteed to be facet-inducing in general. A partial explanation for the success of the disjunctive cuts is given in this paper. It is shown that, for six important combinatorial optimization problems (the clique partitioning, max-cut, acyclic subdigraph, linear ordering, asymmetric travelling salesman and set covering problems), certain facet-inducing inequalities can be obtained by simple disjunctive techniques. New polynomial-time separation algorithms are obtained for these inequalities as a by-product. The disjunctive approach is then compared and contrasted with some other {\textquoteleft}general-purpose{\textquoteright} frameworks for generating cutting planes and some conclusions are made with respect to the potential and limitations of the disjunctive approach.",
keywords = "integer programming, cutting planes",
author = "Letchford, {A. N.}",
year = "2001",
month = sep,
doi = "10.1023/A:1011493126498",
language = "English",
volume = "5",
pages = "299--315",
journal = "Journal of Combinatorial Optimization",
issn = "1382-6905",
publisher = "Springer Netherlands",
number = "3",

}

RIS

TY - JOUR

T1 - On disjunctive cuts for combinatorial optimization

AU - Letchford, A. N.

PY - 2001/9

Y1 - 2001/9

N2 - In the successful branch-and-cut approach to combinatorial optimization, linear inequalities are used as cutting planes within a branch-and-bound framework. Although researchers often prefer to use facet-inducing inequalities as cutting planes, good computational results have recently been obtained using disjunctive cuts, which are not guaranteed to be facet-inducing in general. A partial explanation for the success of the disjunctive cuts is given in this paper. It is shown that, for six important combinatorial optimization problems (the clique partitioning, max-cut, acyclic subdigraph, linear ordering, asymmetric travelling salesman and set covering problems), certain facet-inducing inequalities can be obtained by simple disjunctive techniques. New polynomial-time separation algorithms are obtained for these inequalities as a by-product. The disjunctive approach is then compared and contrasted with some other ‘general-purpose’ frameworks for generating cutting planes and some conclusions are made with respect to the potential and limitations of the disjunctive approach.

AB - In the successful branch-and-cut approach to combinatorial optimization, linear inequalities are used as cutting planes within a branch-and-bound framework. Although researchers often prefer to use facet-inducing inequalities as cutting planes, good computational results have recently been obtained using disjunctive cuts, which are not guaranteed to be facet-inducing in general. A partial explanation for the success of the disjunctive cuts is given in this paper. It is shown that, for six important combinatorial optimization problems (the clique partitioning, max-cut, acyclic subdigraph, linear ordering, asymmetric travelling salesman and set covering problems), certain facet-inducing inequalities can be obtained by simple disjunctive techniques. New polynomial-time separation algorithms are obtained for these inequalities as a by-product. The disjunctive approach is then compared and contrasted with some other ‘general-purpose’ frameworks for generating cutting planes and some conclusions are made with respect to the potential and limitations of the disjunctive approach.

KW - integer programming

KW - cutting planes

U2 - 10.1023/A:1011493126498

DO - 10.1023/A:1011493126498

M3 - Journal article

VL - 5

SP - 299

EP - 315

JO - Journal of Combinatorial Optimization

JF - Journal of Combinatorial Optimization

SN - 1382-6905

IS - 3

ER -