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Authors: Marcos de Campos 1 ; Manoel Moreira de Sá 2 ; Patrick Rosa 2 ; Puca Penna 2 ; Sérgio de Souza 1 and Marcone Souza 2

Affiliations: 1 Departamento de Computação, Centro Federal de Educação Tecnológica, Avenida Amazonas, 7675, 30.510-000 Belo Horizonte, Brazil ; 2 Departamento de Computação, Universidade Federal de Ouro Preto, 35.400-000 Ouro Preto, Brazil

ISBN: 978-989-758-423-7

Keyword(s): Mammography Unit Location, Maximal Covering Location, Facility Location, Simulated Annealing.

Abstract: Breast cancer is the most commonly occurring one in the female population. Early diagnosis of this disease, through mammography screening, can increase the chances of cure to 95%. Studies show that Brazil has a relatively satisfactory number of mammography units, but this equipment is poorly geographically distributed. This paper focuses on the Mammography Unit Location Problem (MULP), which aims an efficient distribution of mammography units, in order to increase the covered demand. Focusing on the State of Minas Gerais, Brazil, an analysis is made considering that, in the real world, there is a difficulty in relocating equipment already installed. Therefore, it would be interesting to optimize the location of new equipment purchases. Since MULP is NP-hard, an algorithm based on the Simulated Annealing meta-heuristic is also developed to handle large instances of the problem.

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Paper citation in several formats:
de Campos, M.; Moreira de Sá, M.; Rosa, P.; Penna, P.; de Souza, S. and Souza, Marcone (2020). A Mixed Linear Integer Programming Formulation and a Simulated Annealing Algorithm for the Mammography Unit Location Problem.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 428-439. DOI: 10.5220/0009420704280439

@conference{iceis20,
author={Marcos Vinícius Andrade de Campos. and Manoel Victor Stilpen Moreira de Sá. and Patrick Moreira Rosa. and Puca Huachi Vaz Penna. and Sérgio Ricardo de Souza. and Souza, Marcone},
title={A Mixed Linear Integer Programming Formulation and a Simulated Annealing Algorithm for the Mammography Unit Location Problem},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={428-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009420704280439},
isbn={978-989-758-423-7},
}

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Mixed Linear Integer Programming Formulation and a Simulated Annealing Algorithm for the Mammography Unit Location Problem
SN - 978-989-758-423-7
AU - de Campos, M.
AU - Moreira de Sá, M.
AU - Rosa, P.
AU - Penna, P.
AU - de Souza, S.
AU - Souza, Marcone
PY - 2020
SP - 428
EP - 439
DO - 10.5220/0009420704280439

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