Divide and Conquer: A Location-Allocation Approach to Sectorization

Resume

This work is cataloged in the Scientific Portal. Officially published in Mathematics (2023). Referenced as: "Cristina Lopes; Ana Maria Rodrigues; Valeria Romanciuc; José Soeiro Ferreira; Ozturk, E. Goksu; Cristina Teles Oliveira".

The complete abstract and full text can be accessed directly at the official DOI: https://doi.org/10.3390/math11112553

Bibliographic & Editorial Details

Venue / Journal / Book Mathematics

Volume & Issue Vol. 11 (No. 2553)

Official Identifiers

DOI: https://doi.org/10.3390/math11112553

ISSN: 2227-7390

Autores & Descoberta de Ciência ID

Identificação dos autores da instituição e deteção de coautores via FCT Ciência Vitae.

Autor(es) da Instituição

I

Isabel Cristina da Silva Lopes Investigador

Ciência ID: BC14-DF88-AEBC

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A

Ana Maria Moreira Rodrigues Investigador

Ciência ID: 9318-3841-0F19

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E

Elif Göksu Öztürk Investigador

Ciência ID: E815-014D-61C5

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Coautores da Obra

Autores discriminados na citação da publicação:

Cristina Lopes; Ana Maria Rodrigues; Valeria Romanciuc; José Soeiro Ferreira; Ozturk, E. Goksu; Cristina Teles Oliveira

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Divide and Conquer: A Location-Allocation Approach to Sectorization 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Divide and Conquer: A Location-Allocation Approach to Sectorization 🔓

Resume

Bibliographic & Editorial Details

Official Identifiers

Autores & Descoberta de Ciência ID

Nenhum coautor adicional com Ciência ID associado

Other Related Publications

Artificial Intelligence in Support of Teaching: Predictive Models and Adaptive Systems for Personalising Learning

Comparative Analysis of Ensemble Machine Learning Models for Risk-Oriented Monitoring of Military Procurement

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