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Open AccessJournal ArticleDOI

A Combinatorial Benders' decomposition for the lock scheduling problem

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TLDR
The results indicate that the decomposition approach significantly outperforms other exact approaches presented in the literature, in terms of solution quality and computation time.
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This article is published in Computers & Operations Research.The article was published on 2015-02-01 and is currently open access. It has received 50 citations till now. The article focuses on the topics: Generalized assignment problem & Optimization problem.

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Citations
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Book ChapterDOI

Logic-Based Benders Decomposition for Large-Scale Optimization

TL;DR: This chapter presents the basic theory of LBBD and explains how classical Benders decomposition is a special case, and illustrates in detail how Benders cuts and subproblem relaxations can be developed for some planning and scheduling problems.
Journal ArticleDOI

Just-in-time two-dimensional bin packing

TL;DR: Two decomposition cut-and-check approaches are proposed that define the master problem (MP) as a relaxation of JITBP where the items are reduced to dimensionless entities and outperforms the decomposition approach whose MP is a CP.
Journal ArticleDOI

Optimizing dynamic facility location-allocation for agricultural machinery maintenance using Benders decomposition

TL;DR: This paper focuses on optimizing a dynamic facility location-allocation problem with respect to a real-life agricultural machinery maintenance service network that is designed to achieve the prompt and reliable response to malfunctioning agricultural machinery during harvest.
Journal ArticleDOI

The Multi-period Multi-trip Container Drayage Problem with Release and Due Dates.

TL;DR: This work introduces a more realistic variant of the Container Drayage Problem, the Multi-trip Multi-period CDP with Release and Due Dates (MM-CDP-RDD), in which the planning horizon is composed of several periods (days).
Journal ArticleDOI

An Adaptive Large Neighborhood Search for Solving Generalized Lock Scheduling Problem: Comparative Study With Exact Methods

TL;DR: It is shown that high-quality solutions of GLSP can be efficiently obtained by using an innovative approach proposed, which is an adaptive large neighborhood search (ALNS) heuristic based on the principle of destruction and reconstruction of solutions is proposed for solving the GLSP.
References
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Journal ArticleDOI

Generalized Benders decomposition

TL;DR: In this paper, the extremal value of the linear program as a function of the parameterizing vector and the set of values of the parametric vector for which the program is feasible were derived using linear programming duality theory.
Journal ArticleDOI

Partitioning procedures for solving mixed-variables programming problems

TL;DR: This paper presented to the 8th International Meeting of the Institute of Management Sciences, Brussels, August 23-26, 1961 presents a meta-analyses of the determinants of infectious disease in eight operation rooms of the immune system and its consequences.
Journal ArticleDOI

Logic-Based Benders Decomposition

TL;DR: The aim of this paper is to generalize the linear programming dual used in the classical method to an ``inference dual'' that takes the form of a logical deduction that yields Benders cuts.
Journal ArticleDOI

Combinatorial Benders' Cuts for Mixed-Integer Linear Programming

TL;DR: Computational results on two specific classes of hard-to-solve MIPs indicate that the new method produces a reformulation which can be solved some orders of magnitude faster than the original MIP model.
Journal ArticleDOI

Combinatorial Benders' Cuts for the Strip Packing Problem.

TL;DR: This paper proposes a new exact method that solves a large number of the open benchmark instances within a limited computational effort and shows that the proposed algorithm provides a substantial breakthrough with respect to previously published algorithms.
Related Papers (5)
Frequently Asked Questions (2)
Q1. What contributions have the authors mentioned in the paper "A combinatorial benders’ decomposition for the lock scheduling problem" ?

In this paper, the authors proposed a new exact approach to the lock scheduling problem ( LSP ) based on a combinatorial Benders ' decomposition approach. 

Future work may be aimed at improving the MP ’ s procedure, which is currently the main bottleneck of the decomposition approach.