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.

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. 😀

April 8, 2010

Characterizing Fault Tolerance of Genetic Algorithms in Desktop Grid Systems

March 4, 2010

Project presentation at the IT Projects Day

Filed under: Congress, Event, Papers — Tags: , , , — jjmerelo @ 7:05 pm

Tomorrow lots of people in suits will be heading to Boadilla del Monte, in Madrid, to present their projects in a seminar in which project principal investigators will be talking about them. I am still thinking about the suit, but will be there to present this summary of our groups’ work. It’s been two quite productive years (and a half), but we have only twenty minutes to present them using this slide deck

Feel free to ask about or request any paper you see mentioned there. Most refer to ongoing research, anyways.

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 18, 2009

Obtención de recursos computacionales para PG utilizando desktop grid computing y virtualización

October 8, 2008

Prune and plant presented at HIS

Filed under: Genetic Programming, Papers — evalfaro @ 12:19 pm

Our paper “Prune and Plant: A New Bloat Control Method for Genetic Programming” was presented at the Eighth International Conference on Hybrid Intelligent Systems (HIS’08) held in Barcelona the 11th-13th of September.

Here is the abstract:

This paper reports a comparison of several bloat control methods and also evaluates a new proposal for limiting the size of the individuals: a genetic operator called prune and plant. The aim of this work is to prove the adequacy of this new method. Since a preliminary study of the method has already shown promising results, we have performed a thorough study in a set of benchmark problems aiming at demonstrating the utility of the new approach. Prune and plant has obtained results that maintain the quality of the final solutions in terms of fitness while achieving a substantial reduction of the mean tree size in all four problem domains considered. In addition, in one of these problem domains prune and plant has demonstrated to be better in terms of fitness, size reduction and time consumption than any of the other bloat control techniques under comparison.

October 6, 2008

MELiSSA – the tool every supermarket chain wants

Our paper “A Multiobjective Evolutionary Algorithm for the Linear Shelf Space Allocation Problem” was presented at PPSN 2008  in Dortmund. The paper describes MELiSSA, a tool for allocating lengths of supermarket shelves space to products or groups of products.

The paper is available through Springer online and its abstract is as follows:

This paper presents a multiobjetive approach to solve the Linear Shelf Space Allocation Problem (LiSSAP), which consists on allocating lengths of shelves in a given shop to specific products or groups of products. Previously we gave the first steps towards the development of a commercially viable tool that used evolutionary computation to address the problem; in this paper we introduce MELiSSA, standing for Multiobjective Evolutionary Linear Shelf-Space Allocation, and test it on two real problem configurations, yielding very good results.

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