Papers by Maribel Erazo arenas
Lecture Notes in Computer Science, 2009
This work introduces SymbPar, a parallel meta-evolutionary algorithm designed to build Radial Bas... more This work introduces SymbPar, a parallel meta-evolutionary algorithm designed to build Radial Basis Function Networks minimizing the number of parameters needed to be set by hand. Parallelization is implemented using independent agents to evaluate every individual. Experiments over classifications problems show that the new method drastically reduces the time took by sequential algorithms, while maintaining the generalization capabilities and sizes
Lecture Notes in Computer Science, 2002
Studies in Computational Intelligence, 2010
... Dpto. Arquitectura y Tecnología de Computadores. University of Granada, Spain e-mail:{amorag,... more ... Dpto. Arquitectura y Tecnología de Computadores. University of Granada, Spain e-mail:{amorag,jmerelo,pedro,juanlu, pgarcia,mgarenas}@geneura.ugr.es JRGonzález et al. (Eds.): NICSO 2010, SCI 284, pp. 163176, 2010. ...
Lecture Notes in Computer Science, 2000
Software visualization is an area of computer science devoted to supporting the understanding and... more Software visualization is an area of computer science devoted to supporting the understanding and effective use of algorithms. The application of software visualization to Evolutionary Computation has been receiving increasing attention during the last few years. In this paper we apply visualization technique to an evolutionary algorithm for multilayer perceptron training. Our goal is to better understand its internal behavior
Lecture Notes in Computer Science, 2002
Lecture Notes in Computer Science, 2011
While a lot of attention is usually devoted to the study of different components of evolutionary ... more While a lot of attention is usually devoted to the study of different components of evolutionary algorithms or the creation of heuristic operators, little effort is being directed at how these algorithms are actually implemented. However, the efficient implementation of any application is essential to obtain a good performance, to the point that performance improvements obtained by changes in implementation
Lecture Notes in Computer Science, 2011
Lecture Notes in Computer Science, 2004
In this paper we conduct a comparative study between hybrid methods to optimize multilayer percep... more In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of multilayer perceptrons; a parallel approach to optimize the architecture and initial weights of multilayer perceptrons; a method that searches for the parameters of the training algorithm, and an approach for cooperative co-evolutionary optimization of multilayer perceptrons. Obtained results show that a co-evolutionary model obtains similar or better results than specialized approaches, needing much less training epochs and thus using much less simulation time.
Lecture Notes in Computer Science, 2013
This paper compares four different methods to obtain maximum likelihood estimates of the paramete... more This paper compares four different methods to obtain maximum likelihood estimates of the parameters of a Gompertz-lognormal diffusion process, where no analytical solution for the likelihood equations exists. A recursive method, a Newton-Raphson algorithm, a Simulated Annealing algorithm and an Evolutionary Algorithm to obtain estimates are proposed. The four methods are compared using a simulated data set. The results are compared with simulated paths of the process in terms of several error measurements.
IEEE Congress on Evolutionary Computation, 2010
Page 1. Statistical analysis of the parameters of the simulated annealing algorithm Maribel G. Ar... more Page 1. Statistical analysis of the parameters of the simulated annealing algorithm Maribel G. Arenas Juan LJ Laredo Pedro A. Castillo Pablo G. Sánchez Antonio M. Mora Alberto Prieto Juan J. Merelo AbstractThis paper proposes ...
Lecture Notes in Computer Science, 2003
... Juan Juliéan Merelo Guervéos, Pedro éAngel Castillo Valdivieso, Gustavo Romero Léopez, Maribe... more ... Juan Juliéan Merelo Guervéos, Pedro éAngel Castillo Valdivieso, Gustavo Romero Léopez, Maribel Garcéia Arenas ... In Marc Schoenauer, Kalyanmoy Deb, Guenter Rudolph, Xin Yao, andHans-Paul Schwefel Evelyne Lutton, Juan Julian Merelo, editors, PPSN VI, number 1917 ...
Lecture Notes in Computer Science, 2005
Hand-design of control systems for autonomous robots that act in dynamic or noisy environments is... more Hand-design of control systems for autonomous robots that act in dynamic or noisy environments is a complex task. In this paper, a new technique for controller design, termed decisionvector, is presented. An evolutionary approach is proposed: the control systems (candidate solutions) are made up of the set of robot states with respect to the obstacles it can detect, and the
Advances in Soft Computing
When designing artificial neural network (ANN) it is important to optimise the network architectu... more When designing artificial neural network (ANN) it is important to optimise the network architecture and the learning coefficients of the training algorithm, as well as the time the network training phase takes, since this is the more time-consuming phase. In this paper an approach to cooperative co-evolutionary optimisation of multilayer perceptrons (MLP) is presented. The cooperative co-evolution is performed on
Lecture Notes in Computer Science, 2002
This paper gives an overview of evolutionary computation visualization and describes the applicat... more This paper gives an overview of evolutionary computation visualization and describes the application of visualization to some well known multidimensional problems. Self-Organizing Maps (SOM) are used for multidimensional scaling and projection. We show how different ways of training the SOM make it more or less adequate for the visualization task.
Lecture Notes in Computer Science, 2003
ABSTRACT
Lecture Notes in Computer Science, 2003
... G. Romero, MG Arenas, PA Castillo, JJ Merelo Dpto. ... Universidad de Granada Periodista Dani... more ... G. Romero, MG Arenas, PA Castillo, JJ Merelo Dpto. ... Universidad de Granada Periodista Daniel Saucedo Aranda s/n. 18071 Granada (Spain) e-mail: [email protected] URL: http://geneura.ugr.es Abstract. ... J. Mira and JR ´Alvarez (Eds.): IWANN 2003, LNCS 2686, pp. ...
Lecture Notes in Computer Science, 2011
A Peer-to-Peer Approach to Genetic Programming Juan Luis Jiménez Laredo1, Daniel Lombrana Gonzále... more A Peer-to-Peer Approach to Genetic Programming Juan Luis Jiménez Laredo1, Daniel Lombrana González2, Francisco Fernández de Vega2, Maribel Garcıa Arenas1, and Juan Julián Merelo Guervós1 1 University of Granada, ATC-ETSIIT Periodista Daniel Saucedo Aranda s/n ...
Natural Computing, 2012
After a proof of concept using Dropbox TM , a free storage and synchronization, showed that an ev... more After a proof of concept using Dropbox TM , a free storage and synchronization, showed that an evolutionary algorithm using several dissimilar computers connected via WiFi or Ethernet had a good scaling behavior in terms of evaluations per second, it remains to be proved whether that effect also translates to the algorithmic performance of the algorithm. In this paper we will check several different, and difficult, problems, and see what effects the automatic load-balancing and asynchrony have on the speed of resolution of problems.
International Journal of Intelligent Information Technologies, 2005
Malaria is a vector-borne disease that greatly affects social and economic development. We adopt ... more Malaria is a vector-borne disease that greatly affects social and economic development. We adopt the complex system paradigm in our analysis of the problem. Our aim is to assess the impact of education on malaria healthcare. Multi-agent systems are employed to model the spread of malaria in Haiti, where we introduce malaria education as a possible way of regulating deaths due to the parasite. We launch three experiments, each with environment modifications: three hospitals; three hospitals and 20 schools; and five hospitals and 20 schools. The results of running 10 simulations for each experiment show that there is a reduction in malaria deaths not only when including schools, but in combination with increasing the number of hospitals.
Information Sciences, 2004
This paper is focused on determining the parameters of radial basis function neural networks (num... more This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this task is often done by hand, or based in hillclimbing methods which are highly dependent on initial values, in this work, evolutionary algorithms are used to automatically build a radial basis function neural networks (RBF NN) that solves a specified problem, in this case related to currency exchange rates forecasting. The evolutionary algorithm EvRBF has been implemented using the evolutionary computation framework evolving object, which allows direct evolution of problem solutions. Thus no internal representation is needed, and specific solution domain knowledge can be used to construct specific evolutionary operators, as well as cost or fitness functions. Results obtained are compared with existent bibliography, showing an improvement over the published methods.
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Papers by Maribel Erazo arenas