Telmo Matos

Dr. Telmo Matos

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2009 in Decision Support Systems
Verified
Journal Article
Closed access
PCPaulo Cortez
Paulo Cortez
ACAntónio Cerdeira
António Cerdeira
FAFernando Almeida
Fernando Almeida
TMTelmo Matos
Telmo Matos
José Luís ReisJosé Luís Reis
José Luís Reis

1 January 2009
Verified
Book Chapter
Closed access
PDF file
PCPaulo Cortez
Paulo Cortez
JTJuliana Teixeira
Juliana Teixeira
ACAntónio Cerdeira
António Cerdeira
FAFernando Almeida
Fernando Almeida
TMTelmo Matos
Telmo Matos
José Luís ReisJosé Luís Reis
José Luís Reis

25 June 2021 in Annals of Mathematics and Artificial Intelligence
Verified
Journal Article
Closed access
PDF file
TMTelmo Matos
Telmo Matos
Óscar OliveiraÓscar Oliveira
Óscar Oliveira
DGDorabela Gamboa
Dorabela Gamboa


21 June 2021 in Annals of Mathematics and Artificial Intelligence
Verified
Journal Article
Closed access
PDF file
Óscar OliveiraÓscar Oliveira
Óscar Oliveira
TMTelmo Matos
Telmo Matos
DGDorabela Gamboa
Dorabela Gamboa

14 February 2019
Verified
Book Chapter
Open access
PDF file
TMTelmo Matos
Telmo Matos
FMFábio Maia
Fábio Maia
DGDorabela Gamboa
Dorabela Gamboa
Hub Location Problems are complex combinatorial optimization problems that raised a lot of interest in the literature and have a huge number of practical applications, going from the telecommunications, airline transportation among others. In this paper we propose a primal-dual algorithm to solve the Uncapacitated Multiple Allocation Hub Location Problem (UMAHLP). RAMP algorithm combines information of traditional Dual Ascent procedure on the dual side with an improvement method on the primal side, together with adaptive memory structures. The overall performance of the proposed algorithm was tested on standard Australian Post (AP) and Civil Aeronautics Boarding (CAB) instances, comprising 192 test instances. The effectiveness of our approach has been proven by comparing with other state-of-the-art algorithms.