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04/01/2022
Optimising Communication Overhead in Federated Learning Using NSGA-II
Federated learning is a training paradigm according to which a server-ba...
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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...
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06/29/2021
Reliable and Fast Recurrent Neural Network Architecture Optimization
This article introduces Random Error Sampling-based Neuroevolution (RESN...
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06/18/2021
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
This work proposes a novel approach to evaluate and analyze the behavior...
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01/29/2020
Bayesian Neural Architecture Search using A Training-Free Performance Metric
Recurrent neural networks (RNNs) are a powerful approach for time series...
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10/12/2019
JSDoop and TensorFlow.js: Volunteer Distributed Web Browser-Based Neural Network Training
In 2019, around 57% of the population of the world has broadband access ...
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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...
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11/02/2018
CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines
Cloud Computing is becoming the leading paradigm for executing scientifi...
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07/10/2018
DLOPT: Deep Learning Optimization Library
Deep learning hyper-parameter optimization is a tough task. Finding an a...
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07/03/2018
BIN-CT: Urban Waste Collection based in Predicting the Container Fill Level
The fast demographic growth, together with the concentration of the popu...
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05/18/2018
Low-Cost Recurrent Neural Network Expected Performance Evaluation
Recurrent neural networks are strong dynamic systems, but they are very ...
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01/02/2015
An Experimental Analysis of the Echo State Network Initialization Using the Particle Swarm Optimization
This article introduces a robust hybrid method for solving supervised le...
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06/11/2014
A Hitchhiker's Guide to Search-Based Software Engineering for Software Product Lines
Search Based Software Engineering (SBSE) is an emerging discipline that ...
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10/15/2012
Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance
Recent developments in fitness landscape analysis include the study of L...
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05/30/2011