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Book ChapterDOI

A Survey of Integer Programming Emphasizing Computation and Relations among Models

TLDR
In this article, the authors discuss integer programming by emphasizing computation and relations among models and present a general enumeration algorithm for the mathematical-programming problem of integer linear program (ILP).
Abstract
Publisher Summary This chapter discusses integer programming by emphasizing computation and relations among models. Integer programming deals with the class of mathematical programming problems in which some or all of the variables are required to be integers. The chapter discusses the case in which both the objective function and constraints are linear. It describes integer linear program (ILP) models and some relationships among integer programming models and presents the classification of them according to computational complexity. A difficulty in reporting computational results is the number of different computers used. There is a problem in reporting results on approximate methods. There is virtually no point in reporting times to find a suboptimal solution without also giving its deviation from optimality. Unfortunately, for the large problems for which approximate methods are designed, optimal solutions are generally unknown. The chapter describes the most widely-used algorithms and presents a general enumeration algorithm for the mathematical-programming problem.

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Citations
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Journal ArticleDOI

On the facial structure of set packing polyhedra

TL;DR: This paper shows that the cliques of the intersection graph provide a first set of facets for the polyhedron in question, and it is shown that the cycles without chords of odd length of the intersections graph give rise to a further set of facet.
Journal ArticleDOI

Properties of vertex packing and independence system polyhedra

TL;DR: A general class of facets of = convex hull{x∈Rn:Ax≤1m,x binary} is described which subsumes a class examined by Padberg [13].
Journal ArticleDOI

Application of 0-1 integer programming to multitarget tracking problems

TL;DR: This paper presents a new approach to the solution of multi-target tracking problems that is approached as an unsupervised pattern recognition problem and has the computational structure of the set packing and set partitioning problems of 0-1 integer programming.
Book ChapterDOI

Covering, Packing and Knapsack Problems

TL;DR: In this paper, the authors survey some of the recent results that have been obtained in connection with covering, packing, and knapsack problems formulated as linear programming problems in zero-one variables.
Journal ArticleDOI

On the Uncapacitated Plant Location Problem. I: Valid Inequalities and Facets

TL;DR: The uncapacitated plant location problem is considered as a node-packing problem where necessary and sufficient conditions for trivial facets along with necessary conditions for nontrivial facets are derived.
References
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Journal ArticleDOI

A note on two problems in connexion with graphs

TL;DR: A tree is a graph with one and only one path between every two nodes, where at least one path exists between any two nodes and the length of each branch is given.

Reducibility Among Combinatorial Problems.

TL;DR: Throughout the 1960s I worked on combinatorial optimization problems including logic circuit design with Paul Roth and assembly line balancing and the traveling salesman problem with Mike Held, which made me aware of the importance of distinction between polynomial-time and superpolynomial-time solvability.
Journal ArticleDOI

Partitioning procedures for solving mixed-variables programming problems

TL;DR: In this article, the 8th International Meeting of the Institute of Management Sciences, Brussels, August 23-26, 1961, the authors presented a paper entitled "The International Journal of Management Science and Management Sciences".
Book ChapterDOI

An Automatic Method for Solving Discrete Programming Problems

TL;DR: In the late 1950s there was a group of teachers and research assistants at the London School of Economics interested in linear programming and its extensions, in particular Helen Makower, George Morton, Ailsa Land and Alison Doig.
Journal ArticleDOI

Theoretical Improvements in Algorithmic Efficiency for Network Flow Problems

TL;DR: New algorithms for the maximum flow problem, the Hitchcock transportation problem, and the general minimum-cost flow problem are presented, and Dinic shows that, in a network with n nodes and p arcs, a maximum flow can be computed in 0 (n2p) primitive operations by an algorithm which augments along shortest augmenting paths.