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Found 11 papers, 4 papers with code
Reducing the Price of Stable Cable Stayed Bridges with CMA-ES
There are two objectives when designing the bridges: minimizing the cost and maintaining the structural constraints in acceptable values to be considered safe.
Automatic Design of Telecom Networks with Genetic Algorithms
An AI-based solution is proposed to automate network design, which is a task typically done manually by teams of engineers.
Exploring Generative Adversarial Networks for Text-to-Image Generation with Evolution Strategies
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.
Speed Benchmarking of Genetic Programming Frameworks
Genetic Programming (GP) is known to suffer from the burden of being computationally expensive by design.
TensorGP -- Genetic Programming Engine in TensorFlow
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.
Demonstrating the Evolution of GANs through t-SNE
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.
Exploring the Evolution of GANs through Quality Diversity
We compare our proposal with the original COEGAN model and with an alternative version using a global competition approach.
Using Skill Rating as Fitness on the Evolution of GANs
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.
COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks
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.
Automatic Design of Artificial Neural Networks for Gamma-Ray Detection
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.
Evotype: Towards the Evolution of Type Stencils
Typefaces are an essential resource employed by graphic designers.
