research
∙
04/25/2022
Evolutionary latent space search for driving human portrait generation
This article presents an evolutionary approach for synthetic human portr...
share
research
∙
09/10/2021
Citizen centric optimal electric vehicle charging stations locations in a full city: case of Malaga
This article presents the problem of locating electric vehicle (EV) char...
research
∙
06/29/2021
Reliable and Fast Recurrent Neural Network Architecture Optimization
This article introduces Random Error Sampling-based Neuroevolution (RESN...
research
∙
06/25/2021
Fostering Diversity in Spatial Evolutionary Generative Adversarial Networks
Generative adversary networks (GANs) suffer from training pathologies su...
research
∙
03/05/2021
Exact and heuristic approaches for multi-objective garbage accumulation points location in real scenarios
Municipal solid waste management is a major challenge for nowadays urban...
research
∙
02/10/2021
Signal Propagation in a Gradient-Based and Evolutionary Learning System
Generative adversarial networks (GANs) exhibit training pathologies that...
research
∙
10/05/2020
Conditional Generative Adversarial Networks to Model Urban Outdoor Air Pollution
This is a relevant problem because the design of most cities prioritizes...
research
∙
08/03/2020
Analyzing the Components of Distributed Coevolutionary GAN Training
Distributed coevolutionary Generative Adversarial Network (GAN) training...
research
∙
04/07/2020
Parallel/distributed implementation of cellular training for generative adversarial neural networks
Generative adversarial networks (GANs) are widely used to learn generati...
research
∙
04/07/2020
Data Dieting in GAN Training
We investigate training Generative Adversarial Networks, GANs, with less...
research
∙
04/07/2020
Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters
Cyber security adversaries and engagements are ubiquitous and ceaseless....
research
∙
03/30/2020
Re-purposing Heterogeneous Generative Ensembles with Evolutionary Computation
Generative Adversarial Networks (GANs) are popular tools for generative ...
research
∙
09/04/2019
A Specialized Evolutionary Strategy Using Mean Absolute Error Random Sampling to Design Recurrent Neural Networks
Recurrent neural networks have demonstrated to be good at solving predic...
research
∙
06/25/2019
Soft computing methods for multiobjective location of garbage accumulation points in smart cities
This article describes the application of soft computing methods for sol...
research
∙
05/29/2019
Spatial Evolutionary Generative Adversarial Networks
Generative adversary networks (GANs) suffer from training pathologies su...
research
∙
07/10/2018
DLOPT: Deep Learning Optimization Library
Deep learning hyper-parameter optimization is a tough task. Finding an a...
research
∙
05/18/2018