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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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 |
work_keys_str_mv |
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1768545922114912256 |