Perfil

Rivas Santos,   Víctor Manuel

PhD. in Computer Sciences. Professor at Departament of Computer Sciences. Phone: +34 953 21 23 44. Web: http://vrivas.es

ID ORCID: 0000-0002-0681-7172

Publicaciones

A comparison of implementations of basic evolutionary algorithm operations in different languages

CONFERENCE_PAPER

doi   10.1109/CEC.2016.7743980

eid   2-s2.0-85008253549

2016

Ranking the performance of compiled and interpreted languages in genetic algorithms

CONFERENCE_PAPER

doi   2-s2.0-85006515680

eid  

2016

Benchmarking languages for evolutionary algorithms

BOOK

doi   10.1007/978-3-319-31153-1_3

eid   2-s2.0-84962301760

2016

Web browser-based forecasting of economic time-series

BOOK

doi   10.1007/978-3-319-40111-9_5

eid   2-s2.0-84976376855

2016

A radial basis function neural network-based coevolutionary algorithm for short-term to long-term time series forecasting

BOOK

doi   10.1007/978-3-319-23392-5_7

eid   2-s2.0-84947745784

2016

Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system

JOURNAL_ARTICLE

doi   10.1016/j.future.2016.11.021

eid   2-s2.0-85007463588

2015

Open classroom: Enhancing student achievement on artificial intelligence through an international online competition

JOURNAL_ARTICLE

doi   10.1111/jcal.12075

eid   2-s2.0-84920835162

2015

An object-oriented library in Javascript to build modular and flexible cross-platform evolutionary algorithms

BOOK

doi   10.1007/978-3-662-45523-4_69

eid   2-s2.0-84915747714

2014

Assessing different architectures for evolutionary algorithms in JavaScript

CONFERENCE_PAPER

doi   10.1145/2598394.2598460

eid   2-s2.0-84905650028

2014

Preface

BOOK

doi   2-s2.0-84927607163

eid  

2014

NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript

CONFERENCE_PAPER

doi   10.1145/2598394.2605688

eid   2-s2.0-84905660139

2014

Short, medium and long term forecasting of time series using the L-Co-R algorithm

JOURNAL_ARTICLE

doi   10.1016/j.neucom.2013.08.023

eid   WOS:000331851700047

2014

Studying individualized transit indicators using a new low-cost information system

BOOK

doi   10.4018/978-1-4666-6194-3.ch016

eid   2-s2.0-84945373770

2014

The L-Co-R Co-evolutionary algorithm a comparative analysis in medium-term time-series forecasting problems

CONFERENCE_PAPER

doi   2-s2.0-84887452460

eid  

2013

Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm

JOURNAL_ARTICLE

doi   10.1007/s00500-011-0784-2

eid   WOS:000305247600001

2012

Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment

CONFERENCE_PAPER

doi   10.1109/IJCNN.2010.5596797

eid   2-s2.0-79959468164

2010

Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification

JOURNAL_ARTICLE

doi   WOS:000271116900006

eid  

2009

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design

JOURNAL_ARTICLE

doi   WOS:000262358600079

eid  

2009

KEEL: a software tool to assess evolutionary algorithms for data mining problems

JOURNAL_ARTICLE

doi   10.1007/s00500-008-0323-y

eid   WOS:000260518500008

2009

STUDY OF THE ROBUSTNESS OF A META-ALGORITHM FOR THE ESTIMATION OF PARAMETERS IN RADIAL BASIS FUNCTION NEURAL NETWORKS DESIGN

JOURNAL_ARTICLE

doi   WOS:000264426400006

eid  

2009

Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms

JOURNAL_ARTICLE

doi   WOS:000270081200048

eid  

2009

E-tsRBF: preliminary results on the simultaneous determination of time-lags and parameters of Radial Basis Function Neural Networks for time series forecasting

JOURNAL_ARTICLE

doi   10.1109/ISDA.2009.234

eid   WOS:000288405800247

2009

Enhanced radial basis function neural network design using parallel evolutionary algorithms

BOOK

doi   10.1007/978-3-642-03969-0_25

eid   2-s2.0-78049380901

2009

Techniques of Engineering Applied to a Non-structured Data Model

JOURNAL_ARTICLE

doi   WOS:000262358600048

eid  

2009

Study of the robustness of a meta-algorithm for the estimation of parameters inb Artificial Neural Networks design

CONFERENCE_PAPER

doi   10.1109/HIS.2008.66

eid   2-s2.0-55349094713

2008

Parameter estimation for radial basis function neural network design by means of two symbiotic algorithms

CONFERENCE_PAPER

doi   10.1109/ADVCOMP.2008.20

eid   2-s2.0-67650113652

2008

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm

JOURNAL_ARTICLE

doi   WOS:000259875000016

eid  

2008

Multiobjective optimization of ensembles of multilayer perceptrons for pattern classification

BOOK

doi   2-s2.0-33750233849

eid  

2006

Finding a needle in a haystack using hints and evolutionary computation: The case of evolutionary MasterMind

JOURNAL_ARTICLE

doi   10.1016/j.asoc.2004.09.003

eid   2-s2.0-30344440427

2006

Evolving RBF neural networks for time-series forecasting with EvRBF

JOURNAL_ARTICLE

doi   10.1016/j.ins.2003.09.025

eid   2-s2.0-5144219995

2004

Evolving two-dimensional fuzzy systems

JOURNAL_ARTICLE

doi   10.1016/S0165-0114(02)00483-9

eid   2-s2.0-0043092357

2003

Evolved RBF networks for time-series forecasting and function approximation

BOOK

doi   2-s2.0-33847231957

eid  

2002

Optimisation of multilayer perceptrons using a distributed evolutionary algorithm with SOAP

BOOK

doi   2-s2.0-33845394631

eid  

2002

Evolving RBF neural networks

BOOK

doi   2-s2.0-84902177077

eid  

2001

Function approximation with evolved multilayer perceptions

BOOK

doi   2-s2.0-5044230441

eid  

2001

Evolving multilayer perceptrons

JOURNAL_ARTICLE

doi   10.1023/A:1009684907680

eid   2-s2.0-0034293832

2000

Evolving Objects

CONFERENCE_PAPER

doi   2-s2.0-1642305667

eid  

2000

Evolutionary computation visualization: Application to G-PROP

BOOK

doi   2-s2.0-25144453641

eid  

2000

G-Prop: Global optimization of multilayer perceptrons using GAs

JOURNAL_ARTICLE

doi   10.1016/S0925-2312(00)00302-7

eid   2-s2.0-0034331237

2000

SA-prop: Optimization of multilayer perceptron parameters using simulated annealing

BOOK

doi   10.1007/BFb0098224

eid   2-s2.0-23044518583

1999

Optimizing web newspaper layout using simulated annealing

BOOK

doi   10.1007/BFb0100543

eid   2-s2.0-84867448284

1999

G-Prop-II: Global optimization of multilayer perceptrons using GAs

CONFERENCE_PAPER

doi   10.1109/CEC.1999.785523

eid   2-s2.0-84901465300

1999

Improved automatic classification of biological particles from electron-microscopy images using genetic neural nets

BOOK

doi   10.1007/BFb0100504

eid   2-s2.0-23044519071

1999

A neural net-based model for decision making in marketing

JOURNAL_ARTICLE

doi   10.1016/S0959-8022(98)00012-5

eid   2-s2.0-60749122252

1998