no code implementations • 2 Apr 2023 • Gabriel Fernandes, Nuno Lourenço, João Correia
There are two objectives when designing the bridges: minimizing the cost and maintaining the structural constraints in acceptable values to be considered safe.
no code implementations • 2 Apr 2023 • João Correia, Gustavo Gama, João Tiago Guerrinha, Ricardo Cadime, Pedro Antero Carvalhido, Tiago Vieira, Nuno Lourenço
An AI-based solution is proposed to automate network design, which is a task typically done manually by teams of engineers.
1 code implementation • 6 Jul 2022 • Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
In this work, we follow a different direction by proposing the use of Covariance Matrix Adaptation Evolution Strategy to explore the latent space of Generative Adversarial Networks.
no code implementations • 25 May 2021 • Francisco Baeta, João Correia, Tiago Martins, Penousal Machado
Genetic Programming (GP) is known to suffer from the burden of being computationally expensive by design.
1 code implementation • 12 Mar 2021 • Francisco Baeta, João Correia, Tiago Martins, Penousal Machado
In this paper, we resort to the TensorFlow framework to investigate the benefits of applying data vectorization and fitness caching methods to domain evaluation in Genetic Programming.
no code implementations • 31 Jan 2021 • Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
Evolutionary algorithms, such as COEGAN, were recently proposed as a solution to improve the GAN training, overcoming common problems that affect the model, such as vanishing gradient and mode collapse.
1 code implementation • 13 Jul 2020 • Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
We compare our proposal with the original COEGAN model and with an alternative version using a global competition approach.
no code implementations • 9 Apr 2020 • Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
Recent works proposed the use of evolutionary algorithms on GAN training, aiming to solve these challenges and to provide an automatic way to find good models.
1 code implementation • 12 Dec 2019 • Victor Costa, Nuno Lourenço, João Correia, Penousal Machado
COEGAN is a model that uses neuroevolution and coevolution in the GAN training algorithm to provide a more stable training method and the automatic design of neural network architectures.
no code implementations • 9 May 2019 • Filipe Assunção, João Correia, Rúben Conceição, Mário Pimenta, Bernardo Tomé, Nuno Lourenço, Penousal Machado
The results show that the best CNN generated by Fast-DENSER++ improves by a factor of 2 when compared with the results reported by classic statistical approaches.
no code implementations • 26 Jun 2018 • Tiago Martins, João Correia, Ernesto Costa, Penousal Machado
Typefaces are an essential resource employed by graphic designers.