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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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Efficient decomposition-based algorithm to solve long-term pipeline scheduling problem

TL;DR: This paper addresses the scheduling and inventory management of a straight pipeline system connecting a single refinery to multiple distribution centers by developing a decomposition-based algorithm capable of finding near-optimal solutions for large instances in a reasonable time.
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Heterogeneous multi-depot collaborative vehicle routing problem

TL;DR: In this paper , a branch-and-cut algorithm with combinatorial Benders' cuts is proposed to solve a mixed-integer programming formulation of HMCVRP, which significantly outperforms the CPLEX solver using the commonly adopted big M transformation-based method.
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Logic-based benders decomposition algorithm for contamination detection problem in water networks

TL;DR: This paper addresses the sensor location problem with the identification criterion assuming that a limited budget is available for the sensor placement, and the aim is to minimize the number of vulnerable nodes having the same alarm pattern.
Journal ArticleDOI

Combinatorial Benders decomposition for mixed-model two-sided assembly line balancing problem

TL;DR: This work considers a mixed-model two-sided assembly line balancing problem for a given cycle time (MTALBP-I), in which the primary objective is to minimise the number of mated-stations.
Journal ArticleDOI

A Binary Borg-Based Heuristic Method for Solving a Multi-Objective Lock and Transshipment Co-Scheduling Problem

TL;DR: The performance of the B-Borg is confirmed superiority by comparing with non-dominated sorting genetic algorithm and decomposition-based multi-objective evolutionary algorithm in terms of solving LTCP.
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.
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.