1 code implementation • 12 Nov 2020 • Diogo de Andrade, Nuno Fachada, Carlos M. Fernandes, Agostinho C. Rosa
We present a generative swarm art project that creates 3D animations by running a Particle Swarm Optimization algorithm over synthetic landscapes produced by an objective function.
1 code implementation • 23 May 2020 • Nuno Fachada, Agostinho C. Rosa
generateData is a MATLAB/Octave function for generating 2D data clusters.
1 code implementation • 26 Aug 2019 • Carlos M. Fernandes, Nuno Fachada, Juan-Julián Merelo, Agostinho C. Rosa
This paper investigates the performance and scalability of a new update strategy for the particle swarm optimization (PSO) algorithm.
1 code implementation • 30 Mar 2018 • Nuno Fachada, Agostinho C. Rosa
micompm is a MATLAB / GNU Octave port of the original micompr R package for comparing multivariate samples associated with different groups.
2 code implementations • 5 Sep 2016 • Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa
OpenCL is an open standard for parallel programming of heterogeneous compute devices, such as GPUs, CPUs, DSPs or FPGAs.
Distributed, Parallel, and Cluster Computing D.1.3; D.2.2
no code implementations • 22 May 2016 • Marco AR Erra, Pedro MM Mitra, Agostinho C. Rosa
Most of the problems in genetic algorithms are very complex and demand a large amount of resources that current technology can not offer.
no code implementations • 21 May 2016 • Andre Rosado, Agostinho C. Rosa
The diagnosis of epilepsy generally includes a visual inspection of EEG recorded data by the Neurologist, with the purpose of checking the occurrence of transient waveforms called interictal epileptiform discharges.
no code implementations • 21 May 2016 • Nuno Ramos, Sergio Salgado, Agostinho C. Rosa
A co-evolutionary algorithm (CA) based chess player is presented.
1 code implementation • 12 May 2016 • Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa
PerfAndPubTools consists of a set of MATLAB/Octave functions for the post-processing and analysis of software performance benchmark data and producing associated publication quality materials.
1 code implementation • 25 Nov 2015 • Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa
Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent.
4 code implementations • 30 Sep 2015 • Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa
It is appropriate for ascertaining distributional equivalence of a model replication with its original implementation.
Other Computer Science 68U20 D.2.4; I.2.2; I.5.2; I.6.4; I.6.6
3 code implementations • 14 Jul 2015 • Nuno Fachada, Vitor V. Lopes, Rui C. Martins, Agostinho C. Rosa
Agent-based modeling (ABM) is a bottom-up modeling approach, where each entity of the system being modeled is uniquely represented as an independent decision-making agent.
Distributed, Parallel, and Cluster Computing D.1.3; D.2.4; G.3; I.6.6