Nuno Miguel Fonseca Ferreira

Prof. Dr. Nuno Miguel Fonseca Ferreira

DEE, Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, Coimbra, Portugal
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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

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

Representative Publications

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1 November 2012 in Expert Systems with Applications
Verified
Journal Article
Closed access
PGPedram Ghamisi
Pedram Ghamisi
Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
Jón Atli BenediktssonJón Atli Benediktsson
Jón Atli Benediktsson
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira

5 May 2012 in Signal, Image and Video Processing
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Journal Article
Closed access
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Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
Rui RochaRui Rocha
Rui Rocha
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
Jose Antonio Tenreiro MachadoJose Antonio Tenreiro Machado
Jose Antonio Tenreiro Machado

1 November 2011
Verified
Conference Paper
Closed access
Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
Rui RochaRui Rocha
Rui Rocha
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
This paper proposes two extensions of Particle Swarm Optimization (PSO) and Darwinian Particle Swarm Optimization (DPSO), respectively named as RPSO (Robotic PSO) and RDPSO (Robotic DPSO), so as to adapt these promising biological-inspired techniques to the domain of multi-robot systems, by taking into account obstacle avoidance. These novel algorithms are demonstrated for groups of simulated robots performing a distributed exploration task. The concepts of social exclusion and social inclusion are used in the RDPSO algorithm as a “punish-reward” mechanism enhancing the ability to escape from local optima. Experimental results obtained in a simulated environment show that biological and sociological inspiration can be useful to meet the challenges of robotic applications that can be described as optimization problems (e.g. search and rescue).

1 February 2014 in Robotics and Autonomous Systems
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Journal Article
Closed access
Micael Santos CouceiroMicael Santos Couceiro
Micael Santos Couceiro
PVPatrícia A. Vargas
Patrícia A. Vargas
Rui RochaRui Rocha
Rui Rocha
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira

1 January 2019
Verified
Conference Paper
Open access
ASA. Saraiva
A. Saraiva
DSD. Santos
D. Santos
NCNator Costa
Nator Costa
JSJose Sousa
Jose Sousa
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
Salviano Pinto SoaresSalviano Pinto Soares
Salviano Pinto Soares

1 January 2010
Verified
Conference Paper
Closed access
JCJoão Paulo Silva Cunha
João Paulo Silva Cunha
BCBernardo Cunha
Bernardo Cunha
APAntonio Sousa Pereira
Antonio Sousa Pereira
WXWilliam Xavier
William Xavier
Nuno Miguel Fonseca FerreiraNuno Miguel Fonseca Ferreira
Nuno Miguel Fonseca Ferreira
LMLuis Meireles
Luis Meireles