Publicaciones Orcid CEATIC

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

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

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

ranking the performance of compiled and interpreted languages in genetic algorithms

conference-paper

doi 2-s2.0-85006515680

eid

2016

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

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

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

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

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 2-s2.0-84893663143

2014

nodeo, a multi-paradigm distributed evolutionary algorithm platform in javascript

conference-paper

doi 10.1145/2598394.2605688

eid 2-s2.0-84905660139

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 2-s2.0-84861009134

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

a symbiotic chc co-evolutionary algorithm for automatic rbf neural networks design

book

doi 10.1007/978-3-540-85863-8_79

eid 2-s2.0-58149178885

2009

designing radial basis function neural networks with meta-evolutionary algorithms: the effect of chromosome codification

book

doi 10.1007/978-3-642-02481-8_6

eid 2-s2.0-77952576327

2009

e-tsrbf: preliminary results on the simultaneous determination of time-lags and parameters of radial basis function neural networks for time series forecasting

conference-paper

doi 10.1109/ISDA.2009.234

eid 2-s2.0-77949518204

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

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

journal-article

doi 10.1007/s00500-008-0323-y

eid 2-s2.0-55549103698

2009

parallelizing the design of radial basis function neural networks by means of evolutionary meta-algorithms

book

doi 10.1007/978-3-642-02478-8_48

eid 2-s2.0-68749083918

2009

study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design

journal-article

doi 2-s2.0-63149148341

eid

2009

techniques of engineering applied to a non-structured data model

book

doi 10.1007/978-3-540-85863-8_48

eid 2-s2.0-58149184011

2009

automatic neural net design by means of a symbiotic co-evolutionary algorithm

book

doi 10.1007/978-3-540-87656-4_18

eid 2-s2.0-70350525013

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

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

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

multiobjective optimization of ensembles of multilayer perceptrons for pattern classification

book

doi 2-s2.0-33750233849

eid

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

evolutionary computation visualization: application to g-prop

book

doi 2-s2.0-25144453641

eid

2000

evolving objects

conference-paper

doi 2-s2.0-1642305667

eid

2000

evolving multilayer perceptrons

journal-article

doi 10.1023/A:1009684907680

eid 2-s2.0-0034293832

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

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

optimizing web newspaper layout using simulated annealing

book

doi 10.1007/BFb0100543

eid 2-s2.0-84867448284

1999

sa-prop: optimization of multilayer perceptron parameters using simulated annealing

book

doi 10.1007/BFb0098224

eid 2-s2.0-23044518583

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

Perfil

Rivas Santos, Víctor Manuel

Publicaciones

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

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

benchmarking languages for evolutionary algorithms

web browser-based forecasting of economic time-series

ranking the performance of compiled and interpreted languages in genetic algorithms

open classroom: enhancing student achievement on artificial intelligence through an international online competition

studying real traffic and mobility scenarios for a smart city using a new monitoring and tracking system

an object-oriented library in javascript to build modular and flexible cross-platform evolutionary algorithms

assessing different architectures for evolutionary algorithms in javascript

preface

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

short, medium and long term forecasting of time series using the l-co-r algorithm

nodeo, a multi-paradigm distributed evolutionary algorithm platform in javascript

the l-co-r co-evolutionary algorithm a comparative analysis in medium-term time-series forecasting problems

coevolution of lags and rbfns for time series forecasting: l-co-r algorithm

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

a symbiotic chc co-evolutionary algorithm for automatic rbf neural networks design

designing radial basis function neural networks with meta-evolutionary algorithms: the effect of chromosome codification

e-tsrbf: preliminary results on the simultaneous determination of time-lags and parameters of radial basis function neural networks for time series forecasting

enhanced radial basis function neural network design using parallel evolutionary algorithms

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

parallelizing the design of radial basis function neural networks by means of evolutionary meta-algorithms

study of the robustness of a meta-algorithm for the estimation of parameters in radial basis function neural networks design

techniques of engineering applied to a non-structured data model

automatic neural net design by means of a symbiotic co-evolutionary algorithm

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

study of the robustness of a meta-algorithm for the estimation of parameters inb artificial neural networks design

finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary mastermind

multiobjective optimization of ensembles of multilayer perceptrons for pattern classification

evolving rbf neural networks for time-series forecasting with evrbf

evolving two-dimensional fuzzy systems

evolved rbf networks for time-series forecasting and function approximation

optimisation of multilayer perceptrons using a distributed evolutionary algorithm with soap

evolving rbf neural networks

function approximation with evolved multilayer perceptions

evolutionary computation visualization: application to g-prop

evolving objects

evolving multilayer perceptrons

g-prop: global optimization of multilayer perceptrons using gas

g-prop-ii: global optimization of multilayer perceptrons using gas

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

optimizing web newspaper layout using simulated annealing

sa-prop: optimization of multilayer perceptron parameters using simulated annealing

a neural net-based model for decision making in marketing