Víctor Manuel Rivas Santos

According to our database1, Víctor Manuel Rivas Santos authored at least 38 papers between 1999 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2017
Time series forecasting using evolutionary neural nets implemented in a volunteer computing system.
Int. Syst. in Accounting, Finance and Management, 2017

Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system.
Future Generation Comp. Syst., 2017

Ranking Programming Languages for Evolutionary Algorithm Operations.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016
Ranking the Performance of Compiled and Interpreted Languages in Genetic Algorithms.
Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Benchmarking Languages for Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Web Browser-Based Forecasting of Economic Time-Series.
Proceedings of the Decision Economics, In Commemoration of the Birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978), 2016

A comparison of implementations of basic evolutionary algorithm operations in different languages.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Open classroom: enhancing student achievement on artificial intelligence through an international online competition.
J. Comp. Assisted Learning, 2015

2014
Short, medium and long term forecasting of time series using the L-Co-R algorithm.
Neurocomputing, 2014

NodEO, a multi-paradigm distributed evolutionary algorithm platform in JavaScript.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Assessing different architectures for evolutionary algorithms in javascript.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

An Object-Oriented Library in JavaScript to Build Modular and Flexible Cross-Platform Evolutionary Algorithms.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
The L-Co-R Co-evolutionary Algorithm - A Comparative Analysis in Medium-term Time-series Forecasting Problems.
Proceedings of the IJCCI 2013, 2013

2012
Coevolution of lags and RBFNs for time series forecasting: L-Co-R algorithm.
Soft Comput., 2012

2010
Time series forecasting: Automatic determination of lags and radial basis neural networks for a changing horizon environment.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput., 2009

Designing Radial Basis Function Neural Networks with Meta-Evolutionary Algorithms: The Effect of Chromosome Codification.
Proceedings of the Distributed Computing, 2009

Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

E-tsRBF: Preliminary Results on the Simultaneous Determination of Time-Lags and Parameters of Radial Basis Function Neural Networks for Time Series Forecasting.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms.
Proceedings of the Engineering Applications of Neural Networks, 2009

2008
Study of the Robustness of a Meta-Algorithm for the Estimation of Parameters in Artificial Neural Networks Design.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

A Symbiotic CHC Co-evolutionary Algorithm for Automatic RBF Neural Networks Design.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008

Techniques of Engineering Applied to a Non-structured Data Model.
Proceedings of the International Symposium on Distributed Computing and Artificial Intelligence, 2008

2006
Finding a needle in a haystack using hints and evolutionary computation: the case of evolutionary MasterMind.
Appl. Soft Comput., 2006

Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification.
Proceedings of the Parallel Problem Solving from Nature, 2006

2004
Evolving RBF neural networks for time-series forecasting with EvRBF.
Inf. Sci., 2004

2003
Evolving two-dimensional fuzzy systems.
Fuzzy Sets and Systems, 2003

2002
Optimisation of Multilayer Perceptrons Using a Distributed Evolutionary Algorithm with SOAP.
Proceedings of the Parallel Problem Solving from Nature, 2002

Evolved RBF Networks for Time-Series Forecasting and Function Approximation.
Proceedings of the Parallel Problem Solving from Nature, 2002

2001
Evolving RBF Neural Networks.
Proceedings of the Connectionist Models of Neurons, 2001

2000
Evolving Multilayer Perceptrons.
Neural Processing Letters, 2000

G-Prop: Global optimization of multilayer perceptrons using GAs.
Neurocomputing, 2000

Evolutionary Computation Visualization: Application to G-PROP.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
Improved Automatic Classification of Biological Particles from Electron-Microscopy Images Using Genetic Neural Nets.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

Optimizing Web Newspaper Layout Using Simulated Annealing.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

SA-Prop: Optimization of Multilayer Perceptron Parameters Using Simulated Annealing.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999


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