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A Combinatorial Benders' decomposition for the lock scheduling problem

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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Journal ArticleDOI

The Benders decomposition algorithm: A literature review

TL;DR: A state-of-the-art survey of the Benders Decomposition algorithm, emphasizing its use in combinatorial optimization and introducing a taxonomy of algorithmic enhancements and acceleration strategies based on the main components of the algorithm.
Journal ArticleDOI

Combinatorial Benders cuts for assembly line balancing problems with setups

TL;DR: This paper describes an exact algorithm based on Benders decomposition to solve both simple and mixed-model assembly line balancing problems with setups and tests it on a set of benchmark instances and against a mixed-integer linear programming formulation of the problem solved using a commercial optimizer.
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The design of a reliable and robust hierarchical health service network using an accelerated Benders decomposition algorithm

TL;DR: A novel reliable hierarchical location-allocation model addressing a real-world health service network design problem and a robust scenario-based stochastic programming approach is employed to solve the model.
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Stacking outbound barge containers in an automated deep-sea terminal

TL;DR: The results show that the proposed stacking heuristic can provide solutions with a gap of less than 10% with the lower bound for real-sized instances with high utilization and can reduce the total retrieval time up to 30% compared to often-used in practice stacking policy.
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Orthogonal Design-Based NSGA-III for the Optimal Lockage Co-Scheduling Problem

TL;DR: A multi-objective MINO model is established for the LCSTD problem, in which two criteria reflecting the interests of shippers on the one side and owners of the lock on the other side are considered as two parallel optimization objectives.
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.
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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.
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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.