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About

E. J. Solteiro Pires received the B.Sc. degree in electrical engineering from the University of Coimbra, Coimbra, Portugal, in 1994, the M.Sc. degree in electrical and computer engineering from the University of Porto, Porto, Portugal, in 1999, and the Ph.D. degree from the University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal, in 2006. He is currently an Auxiliary Professor with UTAD. His current research interests include evolutionary computation, soft computing, multiobjective problems, and robotics.

Interest
Topics
Details

Details

Publications

2018

Stability of multidimensional systems using bio-inspired meta-heuristics

Authors
Solteiro Pires, EJ; de Moura Oliveira, PB; Tenreiro Machado, JA;

Publication
International Journal of Control

Abstract

2017

From Single to Many-objective PID Controller Design using Particle Swarm Optimization

Authors
Freire, H; Moura Oliveira, PBM; Solteiro Pires, EJS;

Publication
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS

Abstract
Proportional, integrative and derivative (PID) controllers are among the most used in industrial control applications. Classical PID controller design methodologies can be significantly improved by incorporating recent computational intelligence techniques. Two techniques based on particle swarm optimization (PSO) algorithms are proposed to design PI-PID controllers. Both control design methodologies are directed to optimize PI-PID controller gains using two degrees-of-freedom control configurations, subjected to frequency domain robustness constraints. The first technique proposes a single-objective PSO algorithm, to sequentially design a two degrees-of-freedom control structure, considering the optimization of load disturbance rejection followed by set-point tracking optimization. The second technique proposes a many-objective PSO algorithm, to design a two degrees-of-freedom control structure, considering simultaneously, the optimization of four different design criteria. In the many-objective case, the control engineer may select the most adequate solution among the resulting optimal Pareto set. Simulation results are presented showing the effectiveness of the proposed PI-PID design techniques, in comparison with both classic and optimization based methods.

2017

Revisiting the Simulated Annealing Algorithm from a Teaching Perspective

Authors
de Moura Oliveira, PBD; Solteiro Pires, EJS; Novais, P;

Publication
INTERNATIONAL JOINT CONFERENCE SOCO'16- CISIS'16-ICEUTE'16

Abstract
Hill climbing and simulated annealing are two fundamental search techniques integrating most artificial intelligence and machine learning courses curricula. These techniques serve as introduction to stochastic and probabilistic based metaheuristics. Simulated annealing can be considered a hill-climbing variant with a probabilistic decision. While simulated annealing is conceptually a simple algorithm, in practice it can be difficult to parameterize. In order to promote a good simulated annealing algorithm perception by students, a simulation experiment is reported here. Key implementation issues are addressed, both for minimization and maximization problems. Simulation results are presented.

2016

Conflict Resolution Problem Solving with Bio-Inspired Metaheuristics:

Authors
Oliveira, PBdM; Pires, EJS;

Publication
Interdisciplinary Perspectives on Contemporary Conflict Resolution

Abstract

2016

Erratum: Corrigendum to ‘Design of Posicast PID control systems using a gravitational search algorithm’  (Neurocomputing (2015) 167 (18–23)(S0925231215005597)(10.1016/j.neucom.2014.12.101))

Authors
de Moura Oliveira, PB; Solteiro Pires, EJ; Novais, P;

Publication
Neurocomputing

Abstract
The author's wishes to make the following correction: all the IAE values presented in the paper are multiplied by a factor of 100. The authors would like to apologise for any inconvenience caused. © 2015 Elsevier B.V.

Supervised
thesis

2017

ADAPT – Plataforma Adaptativa de Ensino à Distância

Author
Eduardo Jorge Dinis Pratas

Institution
UTAD

2017

Análise da variabilidade da frequência cardíaca em indivíduos saudáveis e doentes

Author
Cristina Monteiro Pinto

Institution
UTAD

2017

Diagnóstico Automático no Cancro da Mama

Author
Vera Susana Ribeiro

Institution
UTAD

2017

Simulação de enxames robóticos controlados com meta-heuristicas bio-inspiradas

Author
Guilhermino de Almeida Magalhães Pereira

Institution
UTAD

2016

Projeto de controladores pid com meta-heurísticas de inspiração natural e biológica

Author
Nuno Miguel Cardoso Rodrigues

Institution
UTAD