no code implementations • 6 Feb 2024 • Miguel Ángel Domínguez-Ríos, Francisco Chicano, Enrique Alba
In multiobjective optimization, the result of an optimization algorithm is a set of efficient solutions from which the decision maker selects one.
no code implementations • 6 Feb 2024 • Christian Cintrano, Francisco Chicano, Enrique Alba
In this work, we solve the problem of finding the best locations to place stations for depositing/collecting shared bicycles.
no code implementations • 1 Apr 2022 • José Ángel Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba
Federated learning is a training paradigm according to which a server-based model is cooperatively trained using local models running on edge devices and ensuring data privacy.
no code implementations • 10 Sep 2021 • Christian Cintrano, Jamal Toutouh, Enrique Alba
This article presents the problem of locating electric vehicle (EV) charging stations in a city by defining the Electric Vehicle Charging Stations Locations (EV-CSL) problem.
no code implementations • 29 Jun 2021 • Andrés Camero, Jamal Toutouh, Enrique Alba
This article introduces Random Error Sampling-based Neuroevolution (RESN), a novel automatic method to optimize recurrent neural network architectures.
no code implementations • 18 Jun 2021 • Tomohiro Harada, Enrique Alba, Gabriel Luque
This work proposes a novel approach to evaluate and analyze the behavior of multi-population parallel genetic algorithms (PGAs) when running on a cluster of multi-core processors.
1 code implementation • 29 Jan 2020 • Andrés Camero, Hao Wang, Enrique Alba, Thomas Bäck
Recurrent neural networks (RNNs) are a powerful approach for time series prediction.
no code implementations • 12 Oct 2019 • José Á. Morell, Andrés Camero, Enrique Alba
Then, volunteers access the web page of the problem and start processing the tasks in their web browsers.
1 code implementation • 4 Sep 2019 • Andrés Camero, Jamal Toutouh, Enrique Alba
Our findings show that we can achieve state-of-the-art error performance and that we reduce by half the time needed to perform the optimization.
no code implementations • 2 Nov 2018 • David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino
Cloud Computing is becoming the leading paradigm for executing scientific and engineering workflows.
1 code implementation • 10 Jul 2018 • Andrés Camero, Jamal Toutouh, Enrique Alba
Deep learning hyper-parameter optimization is a tough task.
no code implementations • 3 Jul 2018 • Javier Ferrer, Enrique Alba
The objective of the system is the cost reduction of the waste collection service by means of the minimization in distance traveled by any truck to collect a container, hence the fuel consumption.
no code implementations • 18 May 2018 • Andrés Camero, Jamal Toutouh, Enrique Alba
In this study, we propose a low computational cost model to evaluate the expected performance of a given architecture based on the distribution of the error of random samples of the weights.
no code implementations • 2 Jan 2015 • Sebastián Basterrech, Enrique Alba, Václav Snášel
Here, we present an approach to use the PSO for finding some initial hidden-hidden weights of the ESN model.
no code implementations • 11 Jun 2014 • Roberto E. Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Lukas Linsbauer, Alexander Egyed, Enrique Alba
Search Based Software Engineering (SBSE) is an emerging discipline that focuses on the application of search-based optimization techniques to software engineering problems.