Alejandro Cervantes

发表

IACS-HCSP: Improved ant colony optimization for large-scale home care scheduling problems

Pedro Isasi Viñuela, Yago Saez, Emilio Martín, 2020, Expert Syst. Appl..

Sensor Placement and Observer Design for Free Choice Continuous Timed Petri Nets

Alejandro Cervantes, Enrique Aguayo, David Gomez, 2015, IEEE Latin America Transactions.

AMPSO: A New Particle Swarm Method for Nearest Neighborhood Classification

Inés María Galván, Pedro Isasi Viñuela, Alejandro Cervantes, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

An online classification algorithm for large scale data streams: iGNGSVM

Alejandro Cervantes, Andrés L. Suárez-Cetrulo, Alejandro Cervantes, 2017, Neurocomputing.

A Novel Multiobjective Formulation of the Robust Software Project Scheduling Problem

Francisco Luna, Francisco Chicano, Alejandro Cervantes, 2012, EvoApplications.

Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems

Inés María Galván, Pedro Isasi Viñuela, Alejandro Cervantes, 2008, New Generation Computing.

Building Nearest Prototype Classifiers Using a Michigan Approach PSO

Inés María Galván, Pedro Isasi Viñuela, Alejandro Cervantes, 2007, 2007 IEEE Swarm Intelligence Symposium.

Multi-objective evolutionary optimization of prediction intervals for solar energy forecasting with neural networks

Inés María Galván, José María Valls, Ricardo Aler, 2017, Inf. Sci..

An Adaptive Michigan Approach PSO for Nearest Prototype Classification

Inés María Galván, Pedro Isasi Viñuela, Alejandro Cervantes, 2007, IWINAC.

AComparison between thePittsburgh andMichigan Approaches forthe Binary PSOAlgorithm

Alejandro Cervantes, Pedro Isasi, 2005 .

Incremental Market Behavior Classification in Presence of Recurring Concepts

Alejandro Cervantes, David Quintana, Andrés L. Suárez-Cetrulo, 2019, Entropy.

Study of Industry 4.0 and its Impact on Lean Transformation in Aerospace Manufacturing

Alejandro Cervantes, Sagil James, 2019 .

Clustering technique for large-scale home care crew scheduling problems

Pedro Isasi Viñuela, Yago Sáez, Alejandro Cervantes, 2017, Applied Intelligence.

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices

Alejandro Baldominos Gómez, Pedro Isasi Viñuela, Yago Saez, 2019, Sensors.

Optimizing the DFCN Broadcast Protocol with a Parallel Cooperative Strategy of Multi-Objective Evolutionary Algorithms

Francisco Luna, Gara Miranda, Eduardo Segredo, 2009, EMO.

A comparison between the Pittsburgh and Michigan approaches for the binary PSO algorithm

Inés María Galván, Pedro Isasi Viñuela, Alejandro Cervantes, 2005, 2005 IEEE Congress on Evolutionary Computation.

Learning from non-stationary data using a growing network of prototypes

Caroline Gagné, Marc Parizeau, Pedro Isasi Viñuela, 2013, 2013 IEEE Congress on Evolutionary Computation.

Large-Scale Home Care Crew Scheduling with a Parallel Evolutionary Algorithm

Francisco Luna, Pedro Isasi Viñuela, Alejandro Cervantes, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Convolution on neural networks for high-frequency trend prediction of cryptocurrency exchange rates using technical indicators

Alejandro Cervantes, Saúl Alonso-Monsalve, Andrés L. Suárez-Cetrulo, 2020, Expert Syst. Appl..

Multiobjective algorithms to optimize broadcasting parameters in mobile Ad-hoc networks

Pedro Isasi Viñuela, Alejandro Cervantes, Cristóbal Luque del Arco-Calderón, 2007, 2007 IEEE Congress on Evolutionary Computation.

Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs

Enrique Alba, Francisco Luna, Gara Miranda, 2007, EUROCAST.

Evaluating and Characterizing Incremental Learning from Non-Stationary Data pdf

Marc Parizeau, Christian Gagné, Pedro Isasi Viñuela, 2018, ArXiv.

Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks

Inés María Galván, Alejandro Cervantes, Sandra García-Rodríguez, 2009, IWANN.

Convection indicator for pre-tactical air traffic flow management using neural networks

Alejandro Cervantes, Manuel Soler, Aniel Jardines, 2021 .