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- Grégory Paris, Denis Robilliard, Cyril Fonlupt
- Artificial Evolution
- 2001

- Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt
- Genetic Programming and Evolvable Machines
- 2009

The availability of low cost powerful parallel graphics cards has stimulated the port of Genetic Programming (GP) on Graphics Processing Units (GPUs). Our work focuses on the possibilities offered by Nvidia G80 GPUs when programmed in the CUDA language. In a first work we have showed that this setup allows to develop fine grain parallelization schemes to… (More)

- Denis Robilliard, Virginie Marion-Poty, Cyril Fonlupt
- EuroGP
- 2008

The availability of low cost powerful parallel graphics cards has stimulated a trend to port GP on Graphics Processing Units (GPUs). Previous works on GPUs have shown evaluation phase speedups for large training cases sets. Using the CUDA language on the G80 GPU, we show it is possible to efficiently interpret several GP programs in parallel, thus obtaining… (More)

- Denis Robilliard, Virginie Marion, Cyril Fonlupt
- BADS '09
- 2009

The availability of low cost powerful parallel graphics cards has stimulated the port of Genetic Programming (GP) on Graphics Processing Units (GPUs). Our work focuses on the possibilities offered by Nvidia G80 GPUs when programmed in the CUDA language. We compare two parallelization schemes that evaluate several GP programs in parallel. We show that the… (More)

We perform a statistical analysis of the structure of the search space of some planar, euclidian instances of the traveling salesman problem. We want to depict this structure from the point of view of iterated local search algorithms. The objective is two-fold: understanding the experimentally known good performance of metaheuristics on the TSP and other… (More)

- Malik Chami, Denis Robilliard
- Applied optics
- 2002

A stochastic inverse technique based on agenetic programming (GP) algorithm was developed toinvert oceanic constituents from simulated data for case I and case II water applications. The simulations were carried out with the Ordre Successifs Ocean Atmosphere (OSOA) radiative transfer model. They include the effects of oceanic substances such as… (More)

The definition of the hardness of a problem for GA’s has been tackled, eventually leading to the notion of deception [Gol89, HG94, Dav87]. It has been known for a while that the hardness of a problem is inherently related to the representation that is used. This fact will be illustrated below by showing that an easy problem (1’s counting problem) can become… (More)

- Denis Robilliard, Cyril Fonlupt
- Artificial Evolution
- 2001

Overfitting the training data is a common problem in supervised machine learning. When dealing with a remote sensing inverse problem, the PAR, overfitting prevents GP evolved models to be successfully applied to real data. We propose to use a classic method of overfitting control by the way of a validation set. This allows to go backward in the evolution… (More)

- Cyril Fonlupt, Denis Robilliard, P Preux
- 1997

This paper focuses on using the tness landscape paradigm in order to gain a better understanding of the behavior of local search heuristics in order to solve NP-hard problems. We concentrate ourselves on the symmetric planar TSP and we compare experimental facts about landscapes associated with the well-known 2-change and city-swap operators. We measure the… (More)

- Grégory Paris, Denis Robilliard, Cyril Fonlupt
- EuroGP
- 2003