Investigación del Equipo GeNeura | GeNeura team Research page

 F. Morán; A. Moreno; J. J. Merelo; P. Chacón. Advances in Artificial Life, volume 929 of Lectures Notes in Artificial Intelligence. Springer-Verlag, 1995. Order it from Amazon.com

Marc Schoenauer, Kalyanmoy Deb, Gunter Rudolph, Xin Yao, Evelyne Lutton, Juan Julián Merelo, and Hans-Paul Schwefel, editors.
Parallel Problem Solving from Nature - PPSN VI, number 1917 in Lecture Notes in Computer Science. Springer, 2000.

E. Alba; F. Fernández; J. A. Gómez; F. Herrera; J. I. Hidalgo; J. J. Merelo; J. M. Sánchez, editor.
Actas primer congreso español algoritmos evolutivos, AEB002. Universidad de Extremadura, Febrero 2002.

Peter Wainwright; Aldo Calpini; Arthur Corliss; Simon Cozens; Shelley Powers; JJ Merelo-Guervós; Aalhad Saraf; Chris Nandor.
Professional Perl Programming.
Wrox Press Inc, 2001.Buy it from Amazon.com

J.-J. Merelo Guervós; P. Adamidis; H.-G. Beyer; J.-L. Fernández-Villaca nas; H.-P. Schwefel, editor.
Parallel Problem Solving from Nature - PPSN VII, 7th International Conference, Granada, Spain, September 7-11, 2002. Proceedings, number 2439 in Lecture Notes in Computer Science,LNCS. Springer-Verlag, September 2002. Buy it from Amazon.com

 I. García; J. J. Merelo; Bruguera; E. L. Zapata. Parallel quadrant interlocking factorization on hypercube computer. Parallel Computing, 15:15pp, 1990.

 M. A. Andrade; P. Chacón; J. J. Merelo; F. Morán. Evaluation of secondary structure of proteins from uv circular dichroism spectra. Protein Engineering, 6(4):383-390, 1993.[medline]

 J. J. Merelo; M. Patón; A. Cañas; A. Prieto; F. Morán. Genetic optimization of a multilayer neural network for cluster classification tasks. Neural Network World, 3:175-186, 1993.

 J. J. Merelo; M. A. Andrade; A. Prieto; F. Morán. Proteinotopic feature maps. Neurocomputing, 6(4):443-454, 1994.

 A. Etxeberria; J. J. Merelo; A. Moreno. Representation of organisms with basic cognitive capacities in artificial worlds. CCAI, 11(1-2):31-53, 1994.

 J. J. Merelo; A. Prieto; FF. Morán; J. M. Carazo; R. Marabini. Automatic classification of biological particles from electron-microscopy images using conventional and genetic-algorithm optimized learning vector quantization. Neural Processing Letters, 8:55-65, 1998.

Rivas V.; Valderrábano J. L. Merelo, J. J.; Prieto. A neural net-based model for decision making in marketing. Accounting, Management and Information Technologies, 8 (1998) 237-253.

P. A. Castillo; J. González; J. J. Merelo; A. Prieto; V. Rivas; G. Romero.
G-Prop: Global optimization of multilayer perceptrons using GAs.
Neurocomputing, 35:149-163, November 2000.

P.A. Castillo; J. Carpio; J. J. Merelo; V. Rivas; G. Romero; A. Prieto.
Evolving Multilayer Perceptrons.
Neural Processing Letters, 12:115-127, October 2000.

A. Pascual; M. Bárcena; J. J. Merelo; J. M. Carazo.
Mapping and fuzzy classification of macromolecular images using self-organizing neural networks.
Ultramicroscopy, 84:85-99, 2000.

P. B. D. Unneberg; J. J: Merelo; P. Chacón; F. Morán.
SOMCD: a method for evaluating protein secondary structure from UV circular spectra.
Proteins, 2000.
in press.

J. González, I. Rojas, H. Pomares, M.Salmerón, A.Prieto, and J. J. Merelo.
Optimization of web newspaper layout in real time.
Computer Networks, 2001.
In press.

P.A. Castillo, J.G. Castellano, J.J. Merelo, and A. Prieto.
Diseño de Redes Neuronales Artificiales Mediante Algoritmos Evolutivos.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. No.14, pp. 2-32. (ISSN: 1137-3601). (c) AEPIA (http://aepia.dsic.upv.es/), 2001.

J. Quesada;Juan-Julián Merelo-Guervós;M. J. Oliveras;J. González; M. Olalla; R. Blanca; M. C. López-Martínez.
Application of artificial aging techniques to samples of rum and comparison with traditionally aged rums by analysis with artificial neural nets.
Journal of Agricultural and Food Chemistry, 50(6):1470-1477, 2002.

J. González; I. Rojas; H. Pomares; M. Salmerón; Juan-Julián Merelo-Guervós.
Web newspaper layout optimization using simulatted annealing.
IEEE Transactions on System, Man and Cybernetics B, 32(5):686-690, October 2002.

I. Rojas;J. Gonzalez;H. Pomares; J. J. Merelo;P. A. Castillo;G. Romero.
Statistical analysis of the main parameters involved in the design of a genetic algorithm.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 32 (1): 31-37 FEB 2002, 32(1):31-37, February 2002.

P.A. Castillo; J.J. Merelo; A. Prieto; I. Rojas and G. Romero.
Statistical analysis of the parameters of a neuro-genetic algorithm.
IEEE Transactions on Neural Networks, 13(6), November 2002.

Victor M. Rivas; Juan-Julián Merelo-Guervós; I. Rojas; G. Romero; P.A. Castillo; J. Carpio.
Evolving 2-dimensional fuzzy systems.
Fuzzy Sets and Systems, 2002.
In Press, uncorrected proof. Available online.

J. J. Merelo and A. Prieto. Optimization of classifiers using genetic algorithms,
Advances in Evolutionary Synthesis of Intelligent Agents, chapter Optimization of classifiers using genetic algorithms. MIT press, 2001. Get it from Amazon.com .

 J. J. Merelo; G. Romero. Practical handbook of Genetic Algorithms, vol.3: Complex Coding Systems, chapter Doing GAs with GAGS. CRC press, 1999.Get it from Amazon.com.

 

 

 J. J. Merelo; M. A. Andrade; C. Ureña.; A. Prieto; F. Morán. Application of vector quantization algorithms to protein classification and secundary structure computation. In A. Prieto, editor, Artificial Neural Networks, number 540 in Lecture Notes in Computer Science 540, pages 415-421. Springer-Verlag, 1991.

 J. J. Merelo; M. A. ANDRADE; A. PRIETO; F. MORÁN. Protein classification through a feature map. In 4th Int. Workshop on Neural Networks and their applications (Neuro-Nimes'91), pages 765-768. EC2, 1991.

 J. J. Merelo; M. Patón; A. Ca ns; A. Prieto; F. Morán. Optimization of a competitive learning neural network by genetic algorithms. In A.Prieto J.Mira, J.Cabestany, editor, New Trends in Neural Computation, number 686 in Lecture Notes in Computer Science, pages 185-192. Springer Verlag, 1993.

 M. Chiaberge; J. J. Merelo; L. M. Reyneri; A. Prieto; L. Zocca. A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control. In Proceedings of the European Symposium on Artificial Neural Networks, pages 205-210. D facto (Brussels), 1994.

 J. J. Merelo; A. Prieto. G-LVQ, a combination of genetic algorithms and LVQ. In N.C.Steele D.W.Pearson and R.F.Albrecht, editors, Artificial neural Nets and Genetic Algorithms, pages 92-95. Springer-Verlag, 1995.

 J. L. Bernier; J. J. Merelo; J. Ortega; A. Prieto. Test pattern generation for analog circuits using neural networks and evolutive algorithms. In F.Sandoval J.Mira, editor, From Natural to Artificial Neural Computation, number 930 in Lecture Notes in Computer Science, pages 838-844. Springer Verlag, 1995.

 C. Ilia Herráiz; J. J. Merelo; S. Olmeda; A.Prieto. An individual-based model that reproduces natural distribution of species abundance and diversity. In Artificial Life V. MIT Press, 1996.

 J. J. Merelo and A. Prieto. Gags, a flexible object-oriented library for evolutionary computation. In P. Isasi D. Borrajo, editor, MALFO96, Procs. of the First International Workshop on Machine Learning, Forecasting and Optimization, pages 99-105, 1996. Information on GAGS library is also online.

 J. L. Bernier; C. Ilia Herráiz; J. J. Merelo; S. Olmeda; A. Prieto. Solving mastermind using gas and simulated annealing: a case of dynamic constraint optimization. In Proceedings PPSN, Parallel Problem Solving from Nature IV, LNCS 1141. Springer-Verlag, 1996, pp. 554-563. Una versión anterior, pasada a html. La versión actual se puede conseguir en este fichero.

 I. Rojas, J. J. Merelo, H. Pomares, and A. Prieto. Genetic algorithms for optimum designing of fuzzy controllers. In Proceedings of the 2nd. Int. ICSC Symposium on Fuzzy Logic and Applications (ISFL'97), pages 165-170. International Computer Science Conventions, ICSC Academic Press, 1997.

 J. J. Merelo, A. Prieto, V. Rivas, and J. L. Valderrábano. Designing advertising strategies using a genetic algorithm. In 4th AISB Workshop on Evolutionary Computing, Lecture Notes in Computer Science. Springer, 1997.

 J. J. Merelo, A. Prieto, and F. Morán. A GA-optimized neural network for classification of biological particles from electron-microscopy images. In Cabestany Prieto, Mira, editor, Proceedings IWANN 97, LNCS. Springer-Verlag, 1997.

J. J. Merelo, A. Prieto, V. Rivas, and Juan Luis Valderrábano. An agent based model for the study of publicity/consumer dynamics. Poster accepted at the ECAL'97 conference; available from http://www.cogs.susx.ac.uk/ecal97/present.html, 1997.

 I.Rojas, J.J.Merelo, J.L.Bernier, and A.Prieto. A new approach to fuzzy controller designing and coding via genetic algorithms. In Proceedings of 6th IEEE International Conference on Fuzzy Systems, July 1997.

 J. G. Peñalver and J. J. Merelo. Optimizing web page layout using an annealed genetic algorithm as client-side script. In Proceedings PPSN, Parallel Problem Solving from Nature V, Lecture Notes in Computer Science. Springer-Verlag, 1998.

J. J. Merelo; A. Prieto; V. Rivas; G. Romero; P. Castillo; Pascual, A.;J. M.  Carazo. Improved automatic classification of biological particles from electron-microscopy images using genetic neural nets. InSánchez-Andrés, Mira, editor. IWANN99, LNCS. Springer-Verlag, June 1999.

J. González; J. J. Merelo; P. A. Castillo; V. Rivas; G. Romero; A. Prieto. Optimized web newspaper layout using simulated annealing. InSánchez-Andrés, Mira, editor. IWANN99, LNCS. Springer-Verlag, June 1999..

P. A. Castillo; J. González; J. J. Merelo; A. Prieto; V. Rivas; G. Romero. Sa-prop: Optimization of multilayer perceptron parameters using simulated annealing. InSánchez-Andrés, Mira, editor. IWANN99, LNCS. Springer-Verlag, June 1999..

A. Pascual; M. Bárcena; J. J. Merelo; J.  M. Carazo. Application of the fuzzy kohonen clustering network to biological macromolecules images classification. InSánchez-Andrés, Mira, editor. IWANN99, LNCS. Springer-Verlag, June 1999..

P. A. Castillo; J. González; J. J. Merelo; A. Prieto; V. Rivas; G. Romero. G-Prop-II: Global optimization of multilayer perceptrons using GAs. In CEC99, 1999.

P. A. Castillo; J. González; J. J. Merelo; A. Prieto; V. Rivas; G. Romero. G-Prop-III: Global optimization of multilayer perceptrons using an evolutionary algorithm. In poster accepted at GECCO99, 1999.

J. J. Merelo K. Ruiz-Mirazo; A. Moreno; F. Morán, J. Peretó. Designing a simulation model of a self-maintaining cellular system. In Procs. ECAL99. LNAI, Springer-Verlag, 1999.

J. J. Merelo; M. G. Arenas; J. Carpio; P. Castillo; V. M. Rivas; G. Romero; M. Schoenauer.
Evolving objects.
In M. Grana, editor, FEA (Frontiers of Evolutionary Algorithms) proceedings, 2000.

J. Atienza; M. García; J. González; J. J. Merelo.
Jenetic: a distributed, fine-grained, asynchronous evolutionary algorithm using Jini.
In M. Grana, editor, FEA (Frontiers of Evolutionary Algorithms) proceedings, 2000.

G. Romero; M. García-Arenas; J. G. Castellano; P. A. Castillo; J. Carpio; J. J. Merelo; A. Prieto; V. Rivas.
Evolutionary computation visualization: Application to G-PROP.
In Schoenauer et al. [2], pages 902-912.

A. Pascual; M. Barcena; J. J. Merelo; J.-M. Carazo.
Self-organizing networks for mapping and clustering biological macromolecules images.
In Artificial Neural Networks in Medicine and Biology, Proceedings of the ANNIMAB conference, Perspectives in neural computing. Springer, May 2000.

P.A. Castillo; M.G. Arenas; J.G. Castellano; M.Cillero; J.J. Merelo; A. Prieto; V. Rivas; G. Romero.
Function Approximation with Evolved Multilayer Perceptrons.
Advances in Neural Networks and Applications. Artificial Intelligence Series. Nikos E. Mastorakis Editor. ISBN:960-8052-26-2, pp.195-200, Published by World Scientific and Engineering Society Press, 2001.

P.A. Castillo; J.M. de la Torre; J.J. Merelo; I. Román.
Forecasting business failure. A comparison of neural networks and logistic regression for the Spanish companies.
Accepted in 24th Annual Congress European Accounting Association. Athens, 18-20 April, 2001.

V. Rivas, P. A. Castillo, and J.J. Merelo.
Evolving RBF neural network.
In Proceedings IWANN 2001, LNCS. Springer-Verlag, July 2001.
To be published.

Gustavo Romero, Pedro A. Castillo, J. J. Merelo, and Alberto Prieto.
Using SOM for neural network visualization.
In Proceedings IWANN 2001, LNCS. Springer-Verlag, July 2001.
To be published.

M. Keijzer; J. J. Merelo; G. Romero; and M. Schoenauer.
Evolving objects: a general purpose evolutionary computation library.
ceedings Evolution Artificielle 001, Le Creusot, France. Springer-Verlag, October 2001.

Jorge Casillas; Oscar Cordón; Francisco Herrera; and Juan J. Merelo.
Cooperative coevolution for learning fuzzy rule-based systems.
Proceedings Evolution Artificielle 001, Le Creusot, France. Springer-Verlag, October 2001.

I. Román; J.M. de la Torre; P.A. Castillo; J.J. Merelo.
Sectorial analysis of insolvency risk prediction using neural networks. application to spanish firms.
In 25th Annual Congress. European Accounting Association; 25-27 April 2002, Copenhagen- Denmark, 2002.

Diego H. Milone; Juan J. Merelo and H. L. Rufiner.
Evolutionary algorithm for speech segmentation.
In Proceedings WCCI 2002, 2002.
Available from http://geneura.ugr.es/pub/papers/eassR0-11.zip

M. G. Arenas; B. Dolin; J. J. Merelo; P. A. Castillo; I. Fernández de Viana; M. Schoenauer.
JEO: Java evolving objects.
In Poster Accepted at GECCO 2002, 2002.
Available from http://geneura.ugr.es/pub/papers/MPP104.ps.gz.

Brad Dolin; M.G. Arenas; and Juan-Julián Merelo-Guervós.
Opposites attract: Complementary phenotype selection for crossover in genetic programming.
In nas; H.-P. Schwefel [5], page 142 ff.
Keywords: Technique::Advanced techniques - miscellaneous, Technique::Evolutionary computing - general, Technique::Evolutionary computing - miscellaneous, Technique::Genetic programming - general, Technique::Selection.

G. Romero; Juan-Julián Merelo-Guervós; P.A. Castillo; J.G. Castellano; M.G. Arenas.
genetic algorithm visualization using self-organizing maps.
In nas; H.-P. Schwefel [5], page 442 ff.
Keywords: Activities::Data Mining, Implementation::GUI-Visualisation, Technique::Evolutionary computing - general, Technique::Multi-objective.

V.M. Rivas; P.A. Castillo; Juan-Julián Merelo-Guervós.
Evolved rbf networks for time-series forecasting and function approximation.
In nas; H.-P. Schwefel [5], page 505 ff.
Keywords: Activities::Pattern recognition and classification/datamining, Activities::Prediction/forecasting, Related::Neural Networks, Technique::Evolutionary computing - general.

P.A. Castillo; M.G. Arenas; J.G. Castellano; Juan-Julián Merelo-Guervós; V.M. Rivas; G. Romero.
Optimisation of multilayer perceptrons using a distributed evolutionary algorithm with SOAP.
In nas; H.-P. Schwefel [5], page 676 ff.
Keywords: Activities::Pattern recognition and classification/datamining, Implementation::Hybridization, Implementation::Parallel EAs, Related::Neural Networks.

M.G. Arenas; Pierre Collet; A.E. Eiben; M'ark Jelasity; J.J. Merelo; Ben Paechter; Mike Preuß; Marc Schoenauer.
A framework for distributed evolutionary algorithms.
In nas; H.-P. Schwefel [5].
Keywords: Implementation::Parallel EAs, Related::Simulated Adaptive Behavior, Technique::Advanced techniques - miscellaneous, Technique::Evolutionary computing - general, Technique::Evolutionary computing - miscellaneous.

Juan J. Merelo Guervós.
Evolutionary computation in Perl.
In Münich Perl Mongers, editor, YAPC::Europe::2002, pages 2-22, 2002.

J.L. Bernier ; M. Barchein ; A. Ca nas ; C. Gómez-Valenzuela ; Juan-Julián Merelo-Guervós.
The services a university website should offer.
In Int. Conference on ICT's in Education.Information Society and Education: Monitoring a Revolution., number 9, tome III in Sociedad de la Educación, pages 1746-1750, 2002.
ISBN: 84-95251-79-5.

Publicaciones en castellano

 J. J. Merelo and V. Rivas. La universidad: aqui al lado, con internet. In Actas conferencia Mundo Internet, 97, 1997.

M. García-Arenas; J. G. Castellano; P. A. Castillo; J. Carpio; M. Cillero; J. J. Merelo; A. Prieto; V. Rivas; G. Romero.
Speedup measurements for a distributed evolutionary algorithm that uses jini.
In Universidad de Granada Depto. ATC, editor, XI Jornadas de Paralelismo, 2000.

J. G. Castellano; M. García-Arenas; P. A. Castillo; J. Carpio; M. Cillero; J. J. Merelo; A. Prieto; V. Rivas; G. Romero.
Objetos evolutivos paralelos
In Universidad de Granada Depto. ATC, editor, XI Jornadas de Paralelismo, 2000.

V. M.; J. J. Merelo; P. A. Castillo; G. Romero Rivas.
Noticias personalizadas: el periódico a la carta.
In Ernesto Páramo Sureda, editor, Comunicar la Ciencia en el siglo XXI, I Congreso sobre comunicación social de la ciencia, libro II, comunicaciones, pósters, 2001.
ISBN 8493063932.

Juan Luis Valderrábano, Eduardo Madinaveitia, J. J. Merelo, and Pedro Castillo.
Notoriedad y presión publicitaria: ¿pueden los nuevos métodos matemáticos ayudarnos a mejorar la eficacia de la publicidad?
In Jornadas AEDEMO, Asociación Española de Medios Publicitarios, Jerez, Febrero 2001.

J.J. Merelo; P. A. Castillo; A. Prieto
Integración de una asignatura en internet: el caso de diseño y evaluación de configuraciones.
In Actas JENUI001, VII Jornadas de Enseñanza Universitaria de la Informática, July 2001.

P.A. Castillo, J.G. Castellano, J.J. Merelo, and A. Prieto.
Diseño de Redes Neuronales Artificiales Mediante Algoritmos Evolutivos.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial. No.14, pp. 2-32. (ISSN: 1137-3601). (c) AEPIA (http://aepia.dsic.upv.es/), 2001.

M.G. Arenas, L. Foucart, J.J. Merelo, and P. A. Castillo.
JEO: a framework for evolving objects in Java.
In Actas Jornadas de Paralelismo [JP].

J.G. Castellano, P.A. Castillo, J.J. Merelo, and G. Romero.
Paralelización de evolving objects library usando MPI.
In Actas Jornadas de Paralelismo [JP].

J. J. Merelo, J.G. Castellano, P.A. Castillo, and G. Romero.
Algoritmos genéticos distribuidos usando SOAP.
In Actas Jornadas de Paralelismo [JP].

G. Romero, J.G. Castellano, P.A. Castillo, and J.J. Merelo.
mplementación paralela del som usando mpi.
In Actas Jornadas de Paralelismo [JP].

Juan J. Merelo Guervós.
Algoritmos evolutivos en Perl.
Ponencia presentada en el V Congreso Hispalinux, disponible en http://congreso.hispalinux.es/ponencias/merelo/ae-hispalinux2002.html, Noviembre 2002.

Juan-David Fernández-Garrido; Juan-Miguel Rodríguez-Fernández;Juan Julián Merelo-Guervós.
Algoritmos genéticos aplicados a la liga fantástica yahoo.
In Sánchez [MAEB03].

Daniel Merino; Néstor Zorzano; Maribel García-Arenas; Juan Julián Merelo-Guervós.
Generación de hojas de estilo XSLT mediante programación genética.
In Sánchez [MAEB03].

M.G. Arenas; P.A. Castillo; G. Romero; Juan Julián Merelo-Guervós.
Distribución de información en algoritmos evolutivos P2P.
In Sánchez [MAEB03].

Actas mencionadas

JP

Actas XII Jornadas de Paralelismo. Universidad Politécnica de Valencia, 2001.

MAEB03

Luciano Sánchez, editor.
MAEB03, Segundo Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, Febrero 2003.

 Durante una estancia en el Instituto de Santa Fe, tuve el honor de participar en la elaboracion de las librerias de redes neuronales y algoritmos genéticos de Swarm 1.0, un simulador de sistemas complejos, usable sobre todo en temas de Vida Artificial.

 Nuestro megaproyecto es la librería de clases EO, que trata de incluir todos los paradigmas de computación evolutiva.

All these programs are in the public domain, and can be freely copied, while GeNeura Team keeps the copyright.

1.  k2d, which finds the secondary structure of a protein given its CD spectra. Available on the web.
2. Some libraries, NeuroLib and Breeder, for  Swarm
3. EO class library, for anything evolutionary.

Proyectos de investigación y contratos

 Actualmente estoy en dos proyectos de la CICYT y la DGICYT, relacionados con la Vida Artificial, ambos con el Grupo de Biofísica de la UCM y el grupo de Filosofia de la Ciencia de la Universidad del Pais Vasco. En las páginas de Geneura hay una lista completa de todos los proyectos.

 Tambien se llevaron a cabo dos contratos con la empresa ETCMedia, para realización de un simulador de comportamiento de consumidores ante la publicidad, y para optimización de colocación de anuncios en diferentes medios.
 
 

J. J. Merelo: Trabajo
Investigación	Docencia: Diseño y Evaluación de Configuraciones	Docencia: Prácticas de Introducción a los computadores

J. J. Merelo  jmerelo@geneura.ugr.es

Equipo GeNeura -- GeNeura Team
Departamento de Electrónica y Tecnología de los Computadores
Universidad de Granada Granada (España)
Phone: +34-58-243162; Fax: +34-58-243230