Optimization Models for the Quadratic Traveling Salesperson Problem

Fuente: arXiv
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Autori principali: Chen, Yuxiao, Sathish, Nivetha, Singh, Anubhav, Kuroiwa, Ryo, Beck, J. Christopher
Natura: Preprint
Pubblicazione: 2024
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author Chen, Yuxiao
Sathish, Nivetha
Singh, Anubhav
Kuroiwa, Ryo
Beck, J. Christopher
author_facet Chen, Yuxiao
Sathish, Nivetha
Singh, Anubhav
Kuroiwa, Ryo
Beck, J. Christopher
contents The quadratic traveling salesperson problem (QTSP) is a generalization of the traveling salesperson problem, in which all triples of consecutive customers in a tour determine the travel cost. We propose compact optimization models for QTSP in mixed-integer quadratic programming (MIQP), mixed-integer linear programming (MILP), constraint programming (CP), and domain-independent dynamic programming (DIDP). Our experimental results demonstrate that the DIDP model performs better than other approaches in optimality gap and solution quality when the problem size is large enough.
format Preprint
id arxiv_https___arxiv_org_abs_2408_16680
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimization Models for the Quadratic Traveling Salesperson Problem
Chen, Yuxiao
Sathish, Nivetha
Singh, Anubhav
Kuroiwa, Ryo
Beck, J. Christopher
Optimization and Control
Combinatorics
The quadratic traveling salesperson problem (QTSP) is a generalization of the traveling salesperson problem, in which all triples of consecutive customers in a tour determine the travel cost. We propose compact optimization models for QTSP in mixed-integer quadratic programming (MIQP), mixed-integer linear programming (MILP), constraint programming (CP), and domain-independent dynamic programming (DIDP). Our experimental results demonstrate that the DIDP model performs better than other approaches in optimality gap and solution quality when the problem size is large enough.
title Optimization Models for the Quadratic Traveling Salesperson Problem
topic Optimization and Control
Combinatorics
url https://arxiv.org/abs/2408.16680