A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling

Home-Away Assignment problems are naturally cast as quadraticpro gramming models in binary variables. In this work we compare alternative formulations for this kind of problems. First, write a quadratic programming formulation with linear constraints, and then a quadratically constrained version. W...

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发表在:Trends in Computational and Applied Mathematics
Main Authors: Hugo José Lara, Abel Soares Siqueira, Jinyun Yuan
格式: 文件
语言:英语
出版: Sociedade Brasileira de Matemática Aplicada e Computacional 2018-12-01
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在线阅读:https://tcam.sbmac.org.br/tema/article/view/1189
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author Hugo José Lara
Abel Soares Siqueira
Jinyun Yuan
author_facet Hugo José Lara
Abel Soares Siqueira
Jinyun Yuan
author_sort Hugo José Lara
collection DOAJ
container_title Trends in Computational and Applied Mathematics
description Home-Away Assignment problems are naturally cast as quadraticpro gramming models in binary variables. In this work we compare alternative formulations for this kind of problems. First, write a quadratic programming formulation with linear constraints, and then a quadratically constrained version. We also propose another formulation by manipulating their special structure to obtain versions with 1/4 of the original size. The quadratic programming formulations leads to semidefinite relaxations, which allows us to approximately solve the models. We compare our SDP relaxation with the MIN-RES-CUT based formulation. Numerical experiments exhibit the characteristics of each model.
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spelling doaj-art-65d8bc10f67f44e9b0d55d5dcfd2eac22025-08-19T23:16:19ZengSociedade Brasileira de Matemática Aplicada e ComputacionalTrends in Computational and Applied Mathematics2676-00292018-12-0119310.5540/tema.2018.019.03.471A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport SchedulingHugo José Lara0Abel Soares Siqueira1Jinyun Yuan2Universidade Federal de Santa Catarina- Blumenau- BrasilDepartment of Mathematics, Federal University of ParanaDepartment of Mathematic. Federal University of Parana Home-Away Assignment problems are naturally cast as quadraticpro gramming models in binary variables. In this work we compare alternative formulations for this kind of problems. First, write a quadratic programming formulation with linear constraints, and then a quadratically constrained version. We also propose another formulation by manipulating their special structure to obtain versions with 1/4 of the original size. The quadratic programming formulations leads to semidefinite relaxations, which allows us to approximately solve the models. We compare our SDP relaxation with the MIN-RES-CUT based formulation. Numerical experiments exhibit the characteristics of each model. https://tcam.sbmac.org.br/tema/article/view/1189Sports schedulingInteger quadratic programming. Semidefinite programming.
spellingShingle Hugo José Lara
Abel Soares Siqueira
Jinyun Yuan
A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
Sports scheduling
Integer quadratic programming. Semidefinite programming.
title A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
title_full A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
title_fullStr A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
title_full_unstemmed A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
title_short A Reduced Semidefinite Programming Formulation for HA Assignment Problems in Sport Scheduling
title_sort reduced semidefinite programming formulation for ha assignment problems in sport scheduling
topic Sports scheduling
Integer quadratic programming. Semidefinite programming.
url https://tcam.sbmac.org.br/tema/article/view/1189
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