Search Results for author: Jorge Gomes

Found 7 papers, 3 papers with code

umd-verification: Automation of Software Validation for the EGI federated e-Infrastructure

no code implementations30 Jul 2018 Pablo Orviz Fernandez, Joao Pina, Alvaro Lopez Garcia, Isabel Campos Plasencia, Mario David, Jorge Gomes

The umd-verification tool has been successfully integrated within the SWPP pipeline and is progressively supporting the full validation of the products in the UMD and CMD repositories.

Software Engineering

Enabling rootless Linux Containers in multi-user environments: the udocker tool

1 code implementation6 Nov 2017 Jorge Gomes, Isabel Campos, Emanuele Bagnaschi, Mario David, Luis Alves, Joao Martins, Joao Pina, Alvaro Lopez-Garcia, Pablo Orviz

Containers are increasingly used as means to distribute and run Linux services and applications.

Software Engineering High Energy Physics - Lattice High Energy Physics - Phenomenology

Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots

1 code implementation10 Nov 2015 Miguel Duarte, Vasco Costa, Jorge Gomes, Tiago Rodrigues, Fernando Silva, Sancho Moura Oliveira, Anders Lyhne Christensen

We then assess the performance of the controllers on a real swarm of up to ten aquatic surface robots.

Robotics

Systematic Derivation of Behaviour Characterisations in Evolutionary Robotics

no code implementations2 Jul 2014 Jorge Gomes, Pedro Mariano, Anders Lyhne Christensen

Evolutionary techniques driven by behavioural diversity, such as novelty search, have shown significant potential in evolutionary robotics.

Novelty Search in Competitive Coevolution

no code implementations2 Jul 2014 Jorge Gomes, Pedro Mariano, Anders Lyhne Christensen

In this paper, we investigate if and how novelty search, an evolutionary technique driven by behavioural novelty, can overcome convergence in coevolution.

Evolution of Swarm Robotics Systems with Novelty Search

1 code implementation11 Apr 2013 Jorge Gomes, Paulo Urbano, Anders Lyhne Christensen

Our results show that novelty search is unaffected by deception, is notably effective in bootstrapping the evolution, can find solutions with lower complexity than fitness-based evolution, and can find a broad diversity of solutions for the same task.

Generic Behaviour Similarity Measures for Evolutionary Swarm Robotics

no code implementations11 Apr 2013 Jorge Gomes, Anders Lyhne Christensen

In existing studies, however, the experimenter had to craft a domain dependent behaviour similarity measure to use novelty search in swarm robotics applications.

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