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Book ChapterDOI

Lagrangian Relaxation for Integer Programming

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It is a pleasure to write this commentary because it offers an opportunity to express my gratitude to several people who helped me in ways that turned out to be essential to the birth of [8].
Abstract
It is a pleasure to write this commentary because it offers an opportunity to express my gratitude to several people who helped me in ways that turned out to be essential to the birth of [8]. They also had a good deal to do with shaping my early career and, consequently, much of what followed.

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The collision avoidance problem: Methods and algorithms

TL;DR: Tesis Doctoral leida en la Universidad Rey Juan Carlos en noviembre de 2010. Directores de la Tesis: Laureano F. Escudero y Antonio Alonso Ayuso as mentioned in this paper
Journal ArticleDOI

Scheduling web banner advertisements with multiple display frequencies

TL;DR: The Lagrangian decomposition-based solution approaches presented in this paper are observed to provide good schedules in a reasonable period of time and could result in a considerable increase in profits.
Book ChapterDOI

An Approach to Vehicle Scheduling with Depot Capacity Constraints

TL;DR: Multiple-depot vehicle scheduling in public transport can be formulated as an integral multicommodity flow problem in a time-space network using a Lagrangean relaxation and subgradient optimization and an improved lower bound is determined.
Journal ArticleDOI

An Indirect Method for the Generalized k-Median Problem Applied to Lock-Box Location

TL;DR: An indirect method is given, using an algorithm for the uncapacitated problem to solve the k-median problem, which seems to be roughly as efficient as the underlying uncAPacitated algorithm.
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An integrated modeling framework for design of logistics networks with expedited shipment services

TL;DR: A customized solution approach based on Lagrangian relaxation is developed that can solve integrated logistics network problem efficiently and accurately and minimizes the expected total system cost.
References
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Journal ArticleDOI

The Traveling-Salesman Problem and Minimum Spanning Trees

TL;DR: It is shown that maxπwπ = C* precisely when a certain well-known linear program has an optimal solution in integers.
Journal ArticleDOI

Validation of subgradient optimization

TL;DR: It is concluded that the “relaxation” procedure for approximately solving a large linear programming problem related to the traveling-salesman problem shows promise for large-scale linear programming.
Journal ArticleDOI

Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources

Hugh Everett
- 01 Jun 1963 - 
TL;DR: The use of Lagrange multipliers for optimization in the presence of constraints is not limited to differentiable functions but can be applied to problems of maximizing an arbitrary real valued objective function over any set whatever, subject to bounds on the values of any other finite collection of real valued functions denned on the same set as mentioned in this paper.
Book ChapterDOI

Multicommodity Distribution System Design by Benders Decomposition

TL;DR: In this paper, a multicommodity capacitated single-period version of the problem is formulated as a mixed integer linear program, and a solution technique based on Benders Decomposition is developed, implemented, and successfully applied to a real problem for a major food firm with 17 commodity classes, 14 plants, 45 possible distribution center sites, and 121 customer zones.
Journal ArticleDOI

The traveling-salesman problem and minimum spanning trees: Part II

TL;DR: An efficient iterative method for approximating this bound closely from below is presented, and a branch-and-bound procedure based upon these considerations has easily produced proven optimum solutions to all traveling-salesman problems presented to it.