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Primal cutting plane algorithms revisited

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Primal cutting plane algorithms revisited. / Letchford, A. N.; Lodi, A.
In: Mathematical Methods of Operational Research, Vol. 56, No. 1, 08.2002, p. 67-81.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Letchford, AN & Lodi, A 2002, 'Primal cutting plane algorithms revisited', Mathematical Methods of Operational Research, vol. 56, no. 1, pp. 67-81. https://doi.org/10.1007/s001860200200

APA

Letchford, A. N., & Lodi, A. (2002). Primal cutting plane algorithms revisited. Mathematical Methods of Operational Research, 56(1), 67-81. https://doi.org/10.1007/s001860200200

Vancouver

Letchford AN, Lodi A. Primal cutting plane algorithms revisited. Mathematical Methods of Operational Research. 2002 Aug;56(1):67-81. doi: 10.1007/s001860200200

Author

Letchford, A. N. ; Lodi, A. / Primal cutting plane algorithms revisited. In: Mathematical Methods of Operational Research. 2002 ; Vol. 56, No. 1. pp. 67-81.

Bibtex

@article{38393233b9534d0893114090034d2885,
title = "Primal cutting plane algorithms revisited",
abstract = "Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a linear relaxation of an integer program, are well known and form the basis of the highly successful branch-and-cut method. It is rather less well-known that various primal cutting plane algorithms were developed in the 1960s, for example by Young. In a primal algorithm, the main role of the cutting planes is to enable a feasible solution to the original problem to be improved. Research on these algorithms has been almost non-existent. In this paper we argue for a re-examination of these primal methods. We describe a new primal algorithm for pure 0-1 problems based on strong valid inequalities and give some encouraging computational results. Possible extensions to the case of general mixed-integer programs are also discussed.",
keywords = "integer programming, cutting planes, primal algorithms",
author = "Letchford, {A. N.} and A. Lodi",
year = "2002",
month = aug,
doi = "10.1007/s001860200200",
language = "English",
volume = "56",
pages = "67--81",
journal = "Mathematical Methods of Operational Research",
issn = "1432-2994",
publisher = "Physica-Verlag",
number = "1",

}

RIS

TY - JOUR

T1 - Primal cutting plane algorithms revisited

AU - Letchford, A. N.

AU - Lodi, A.

PY - 2002/8

Y1 - 2002/8

N2 - Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a linear relaxation of an integer program, are well known and form the basis of the highly successful branch-and-cut method. It is rather less well-known that various primal cutting plane algorithms were developed in the 1960s, for example by Young. In a primal algorithm, the main role of the cutting planes is to enable a feasible solution to the original problem to be improved. Research on these algorithms has been almost non-existent. In this paper we argue for a re-examination of these primal methods. We describe a new primal algorithm for pure 0-1 problems based on strong valid inequalities and give some encouraging computational results. Possible extensions to the case of general mixed-integer programs are also discussed.

AB - Dual fractional cutting plane algorithms, in which cutting planes are used to iteratively tighten a linear relaxation of an integer program, are well known and form the basis of the highly successful branch-and-cut method. It is rather less well-known that various primal cutting plane algorithms were developed in the 1960s, for example by Young. In a primal algorithm, the main role of the cutting planes is to enable a feasible solution to the original problem to be improved. Research on these algorithms has been almost non-existent. In this paper we argue for a re-examination of these primal methods. We describe a new primal algorithm for pure 0-1 problems based on strong valid inequalities and give some encouraging computational results. Possible extensions to the case of general mixed-integer programs are also discussed.

KW - integer programming

KW - cutting planes

KW - primal algorithms

U2 - 10.1007/s001860200200

DO - 10.1007/s001860200200

M3 - Journal article

VL - 56

SP - 67

EP - 81

JO - Mathematical Methods of Operational Research

JF - Mathematical Methods of Operational Research

SN - 1432-2994

IS - 1

ER -