Non-Hierarchichal Network Evolutionary System

September 20, 2010

A jugar!

Filed under: Congreso, Genetic Programming, Papers, Videogames — fcofdez @ 4:36 pm

En la Sesión sobre “Videojuegos e Inteligencia Computacional”, celebrada recientemente en MAEB 2010, Valencia, presentamos la versión de lanzamiento del Videojuego Chapas, que utiliza la tecnología Genetic Terrain Programming para la generación de terrenos.

El proyecto en software libre tiene su forja accesible en:

Incluímos un vídeo del juego.  Disfrútalo.


September 13, 2010

MAEB 2010: Artículo de bots

Presentación del paper “Evolución de FFSM para el control de bots en juegos FPS” en el MAEB 2010


April 14, 2010

UnrealBots in EVO* 2010 (EVOGames)


Here you are the AMAZING (:D) poster presented at EVO* 2010, inside the Workshop EVOGames.

The work describes the analysis, design and implementation of two evolutionary algorithms (a Genetic Algorithm  and a Genetic Programming one) to improve the default Artificial Intelligence of the Bots (authonomous enemies) inside the PC Game Unreal.

It had plenty of visits and millards of interest people ask me about the topics in it…

… well, to be honest just, 10 people ask me (3 of them are friends of mine), but in some moments, around 8 or 10 people were looking at the poster and making jokes with me, since it seems to be a perfect mixture between a fabulous research study (:D) and a funny PC game. 😉

Enjoy it. 😀

December 30, 2009

PhD thesis defense: “Modelling and simulation of laser dynamics with cellular automata on parallel and distributed computers”

On December 14, 2009, the NoHNES Project member José Luis Guisado Lizar successfully defended his PhD thesis, with the “Doctor Europaeus” mention, at the  Condensed Matter Physics Department of the Universidad de Sevilla. The thesis advisors were Dr. Francisco Jiménez Morales, from the Universidad de Sevilla, and Dr. Francisco Fernández de Vega, from the Universidad de Extremadura.

PhD thesis defense of José Luis Guisado.

The thesis Committee was comprised of Dr. Antonio Córdoba Zurita (Universidad de Sevilla), Dr. Marco Tomassini (Université de Lausanne, Suiza), Dr. Alfons Hoekstra (Universiteit van Amsterdam, Holanda), Dr. Juan Julián Merelo Guervós (Universidad de Granada) and Dr. Fernando Díaz del Río (Universidad de Sevilla).

The thesis introduces a new model for laser dynamics based on a bio-inspired cellular automata algorithm, and also analyses how to implement it efficiently on parallel and distributed computers.

Abstract: This thesis presents interdisciplinary research carried out in the areas of physics and computer science. We introduce a new model based on cellular automata (CA) to describe laser dynamics, which is an alternative to the standard description based on differential equations. We also study how to take advantage of the intrinsic parallel nature of CA to carry out high performance computational simulations with that model on parallel and distributed computers.

CA are a class of fully discrete, spatially-distributed dynamical systems characterized by local interaction and synchronous parallel dynamical evolution. Our CA-based model reproduces the main laser dynamics phenomenology. It reinforces the vision of laser as a complex system, since the macroscopic properties of the laser system emerge with this model as a cooperative phenomenon from elementary components that interact locally under simple rules. This model represents a new methodological approach for laser modelling, which can be advantageous in cases in which the differential equations are difficult or impossible to integrate, or not entirely applicable because the usual approximations are not valid. It also opens the door to new more detailed CA-based models that could capture more features of laser behaviour.

We investigate how to parallelize the model efficiently. A parallel implementation has been developed using the message passing paradigm. Its performance and scalability have been analysed for the two most usual kinds of platforms for this kind of applications: dedicated clusters, and heterogeneous non-dedicated clusters including a dynamic load balancing strategy. In the latter case a very flexible modular approach has been employed in which the model is executed on top of a dynamic load balancing tool. The results confirm that, in spite of potential difficulties, it is feasible to execute large, fine-grained simulations with CA-based models—including the laser model described—on the most usual types of cluster computing platforms with a good efficiency and scalability.

PhD thesis presentation slides.

More information:

Contact: jlguisado ‘at’ us ‘dot’ es

July 20, 2009

Presentation of our work on modeling pheromone dispensers at GECCO workshop on Symbolic Regression and Modeling

Our paper “Multiobjective Genetic Programming Approach for a Smooth Modeling of the Release Kinetics of a Pheromone Dispenser” was presented at the workshop on Symbolic Regression and Modeling, part of the Genetic and Evolutionary Computation Conference, GECCO, held in Montreal, Canada, from July 8th ot 12th, 2009.

Here’s the abstract:
The accurate modeling of the release kinetics of pheromone dispensers is a matter or great importance for ensuring that the dispenser field-life covers the right period of the pest and for optimizing the layout of dispensers in the treated area.
A new experimental dispenser has been recently designed by researchers at the Instituto Agroforestal del Mediterraneo – Centro de Ecologia Quimica Agricola (CEQA) of the Universidad Politecnica de Valencia (Spain). The most challenging problem for the modeling of the release kinetics of this dispensers is the dificulty in obtaining experimental measurements for building the model. The procedure for obtaining these data is very costly, both time and money wise, therefore the available data across the whole season are scarce. In prior work we demonstrated the utility of using Genetic Programming (GP) for this particular problem. However, the models evolved by the GP algorithm tend to have discontinuities in those time ranges where there are not available measurements. In this work we propose the use of a multiobjective Genetic Programming for modeling the performance of the CEQA dispenser. We take two approaches, involving two and nine objectives respectively. In the first one, one of the objectives of the GP algorithm deals with how well the model fits the experimental data, while the second objective measures how “smooth” the model behaviour is. In the second approach we have as many objectives as data points and the aim is to predict each point separately using the remaining ones. The results obtained endorse the utility of this approach for those modeling problems characterized by the lack of experimental data.

May 25, 2009

Seminario “La IA en la adquisición y uso del conocimiento médico: Patrones Asistenciales”

Filed under: Computational Intelligence techniques, Real-world applications — anaismartinezg @ 3:34 pm

El Jueves 21 de Mayo de 2009 se celebró el seminario “La IA en la adquisición y uso del conocimiento médico: Patrones Asistenciales” en la ETSI Informática de la UNED. El seminario presentaba el proyecto HYGIA (TIN2006-15453), el cual integra el trabajo conjunto desarrollado por las universidades de Santiago de Compostela, Jaume I y Rovira i Virgili, y del Hospital Clínico de Barcelona en el ámbito de la utilización de técnicas de análisis automático de textos, ingeniería del conocimiento y aprendizaje automático inductivo para la generación de patrones asistenciales. Estos patrones formalizan el conocimiento terapéutico de una o varias enfermedades y son capaces de ser interpretados por sistemas informáticos de soporte a la toma de decisiones en medicina. En esta ponencia se presentó el trabajo y los resultados obtenidos en el análisis automático de textos médicos y en el aprendizaje inductivo de patrones a partir de las bases de datos hospitalarias.
La web oficial del proyecto es:

April 24, 2009

Our work on modeling pheromone dispensers at EvoNUM 2009

Our work on modeling pheromone dispensers for sexual confusion in agricluture was presented by Anna Esparcia in the 2nd European workshop on Bio-inspired algorithms for continuous parameter optimisation, EvoNUM 2009, which is part of EvoStar 2009, the premier European event on Evolutionary Computation.

Although the presentation was scheduled at the ungodly hour of 10:30, the comments were higly favourable. As in the previous occasion where we have presented this work, the application was received with great interest, partly because computer scientists are in general unaware of where their food comes from.
However, unlike in MAEB 2009, this time we did not get what has become a memorable comment: “Us people from Madrid only go to the country to check that cows are in fact not purple”.

March 12, 2009

New chapter on prediction of book loses in companies

In such crisis times as these, the recently released chapter “Finding relevant variables in a financial distress prediction problem using Genetic Programming and Self-Organizing Maps” from volume 2 of “Natural Computing in Computational Finance” can come in quite handy.

In it we use Genetic Programming to generate models of prediction of book loses in companies, and we tackle the problem of finding the relevant variables for the prediction using Genetic Programming and Kohonen’s Self Organising Maps. This approach singificantly reduces the number of variables used for the analysis, while minimising the prediction error.

In other words, we tell you what you have to look at if you want to avoid losing money in your company – but don’t hold us responsible if you don’t like the results!

The chapter can also be obtained from SpringerLink.

You should also check our financial prediction tool PRESAGI

February 20, 2009

Presentación de EVITA en MAEB 2009

Filed under: Computational Intelligence techniques, Congreso, Congress, Papers — anaismartinezg @ 10:51 am

Aquí está la presentación de EVITA en el MAEB 2009.

February 19, 2009

Modelado de emisores de feromona con programación genética

Esta fue nuestra presentación en el congreso MAEB 2009.

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