A new formulation for the Traveling Deliveryman Problem

The Traveling Deliveryman Problem is a generalization of the Minimum Cost Hamiltonian Path Problem where the starting vertex of the path, i.e. a depot vertex, is fixed in advance and the cost associated with a Hamiltonian path equals the sum of the costs for the layers of paths (along the Hamiltonia...

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Autores principales: Méndez Díaz, Isabel, Zabala, Paula
Publicado: 2008
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v156_n17_p3223_MendezDiaz
http://hdl.handle.net/20.500.12110/paper_0166218X_v156_n17_p3223_MendezDiaz
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spelling paper:paper_0166218X_v156_n17_p3223_MendezDiaz2023-06-08T15:15:27Z A new formulation for the Traveling Deliveryman Problem Méndez Díaz, Isabel Zabala, Paula Branch-and-cut algorithms Integer programming Traveling deliveryman problem Dynamic programming Hamiltonians Integer programming Linearization Meats Particle size analysis Branch-and-Bound Branch-and-cut algorithms Computational results Convex hulls Cutting plane algorithms Enumeration trees Feasible solutions Hamiltonian path problems Hamiltonian paths Integer programming formulations Linear programming relaxations Minimum costs Traveling deliveryman problem Valid inequalities Linear programming The Traveling Deliveryman Problem is a generalization of the Minimum Cost Hamiltonian Path Problem where the starting vertex of the path, i.e. a depot vertex, is fixed in advance and the cost associated with a Hamiltonian path equals the sum of the costs for the layers of paths (along the Hamiltonian path) going from the depot vertex to each of the remaining vertices. In this paper, we propose a new Integer Programming formulation for the problem and computationally evaluate the strength of its Linear Programming relaxation. Computational results are also presented for a cutting plane algorithm that uses a number of valid inequalities associated with the proposed formulation. Some of these inequalities are shown to be facet defining for the convex hull of feasible solutions to that formulation. These inequalities proved very effective when used to reinforce Linear Programming relaxation bounds, at the nodes of a Branch and Bound enumeration tree. © 2008 Elsevier B.V. All rights reserved. Fil:Méndez-Díaz, I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Zabala, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v156_n17_p3223_MendezDiaz http://hdl.handle.net/20.500.12110/paper_0166218X_v156_n17_p3223_MendezDiaz
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Branch-and-cut algorithms
Integer programming
Traveling deliveryman problem
Dynamic programming
Hamiltonians
Integer programming
Linearization
Meats
Particle size analysis
Branch-and-Bound
Branch-and-cut algorithms
Computational results
Convex hulls
Cutting plane algorithms
Enumeration trees
Feasible solutions
Hamiltonian path problems
Hamiltonian paths
Integer programming formulations
Linear programming relaxations
Minimum costs
Traveling deliveryman problem
Valid inequalities
Linear programming
spellingShingle Branch-and-cut algorithms
Integer programming
Traveling deliveryman problem
Dynamic programming
Hamiltonians
Integer programming
Linearization
Meats
Particle size analysis
Branch-and-Bound
Branch-and-cut algorithms
Computational results
Convex hulls
Cutting plane algorithms
Enumeration trees
Feasible solutions
Hamiltonian path problems
Hamiltonian paths
Integer programming formulations
Linear programming relaxations
Minimum costs
Traveling deliveryman problem
Valid inequalities
Linear programming
Méndez Díaz, Isabel
Zabala, Paula
A new formulation for the Traveling Deliveryman Problem
topic_facet Branch-and-cut algorithms
Integer programming
Traveling deliveryman problem
Dynamic programming
Hamiltonians
Integer programming
Linearization
Meats
Particle size analysis
Branch-and-Bound
Branch-and-cut algorithms
Computational results
Convex hulls
Cutting plane algorithms
Enumeration trees
Feasible solutions
Hamiltonian path problems
Hamiltonian paths
Integer programming formulations
Linear programming relaxations
Minimum costs
Traveling deliveryman problem
Valid inequalities
Linear programming
description The Traveling Deliveryman Problem is a generalization of the Minimum Cost Hamiltonian Path Problem where the starting vertex of the path, i.e. a depot vertex, is fixed in advance and the cost associated with a Hamiltonian path equals the sum of the costs for the layers of paths (along the Hamiltonian path) going from the depot vertex to each of the remaining vertices. In this paper, we propose a new Integer Programming formulation for the problem and computationally evaluate the strength of its Linear Programming relaxation. Computational results are also presented for a cutting plane algorithm that uses a number of valid inequalities associated with the proposed formulation. Some of these inequalities are shown to be facet defining for the convex hull of feasible solutions to that formulation. These inequalities proved very effective when used to reinforce Linear Programming relaxation bounds, at the nodes of a Branch and Bound enumeration tree. © 2008 Elsevier B.V. All rights reserved.
author Méndez Díaz, Isabel
Zabala, Paula
author_facet Méndez Díaz, Isabel
Zabala, Paula
author_sort Méndez Díaz, Isabel
title A new formulation for the Traveling Deliveryman Problem
title_short A new formulation for the Traveling Deliveryman Problem
title_full A new formulation for the Traveling Deliveryman Problem
title_fullStr A new formulation for the Traveling Deliveryman Problem
title_full_unstemmed A new formulation for the Traveling Deliveryman Problem
title_sort new formulation for the traveling deliveryman problem
publishDate 2008
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0166218X_v156_n17_p3223_MendezDiaz
http://hdl.handle.net/20.500.12110/paper_0166218X_v156_n17_p3223_MendezDiaz
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AT zabalapaula anewformulationforthetravelingdeliverymanproblem
AT mendezdiazisabel newformulationforthetravelingdeliverymanproblem
AT zabalapaula newformulationforthetravelingdeliverymanproblem
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