Evelyne Lutton | MIA Paris-Saclay

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Since February 2013, I am senior scientist (Directeur de Recherche) at INRAE, MATHNUM department, in the EKINOCS research team of the UMR MIA 518. I am also associate researcher at the ISC-PIF, the french institute for complex systems and at the LLB-CEA MMB group.

Directions to AgroParisTech Palaiseau

Webpage available here http://evelyne-lutton.fr/

Publications HAL

Total : 156 publications

2026

Article dans une revue

Optimizing the Viability of Interacting Systems with Evolutionary Algorithms
Alice de Lapparent, Alberto Tonda, Rodolphe Sabatier, Evelyne Lutton, Isabelle Alvarez, Sophie Martin
Viability theory studies the behavior of dynamical systems, with the aim of keeping them viable, or in other terms, keep their trajectories within des...
hal-05403873
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2025

Article dans une revue

The Local Motion of Food Reconstructed from MRI: Optimised k-means Clustering
Conor Spann, Évelyne Lutton, François Boué, Franck P Vidal
The study of gastric motility is important to gain an understanding of disease and nutrition. Many studies focused on gastric motility require the use...
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What is the best way to communicate the uncertainty of a digital soil mapping product? Some lessons from an end-users survey
Léa Courteille, Léa Tardieu, Nadia Boukhelifa, Evelyne Lutton, Philippe Lagacherie
Uncertainty in digital soil mapping products is generally quantified and presented alongside the predictions in the form of a second raster map. Howev...
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Communication dans un congrès

Estimating the Learning Capacity of Bacterial Metabolic Networks
Bastien Mollet, Paul Ahavi, Antoine Cornuéjols, Jean-Loup Faulon, Evelyne Lutton, Alberto Tonda
Biocomputing has emerged as a promising field with the potential for energy-efficient computation, but standardized methods to evaluate living systems...
hal-05427376
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Proceedings/Recueil des communications

Artificial Evolution
Pierrick Legrand, Arnaud Liefooghe, Julien Lepagnot, Nicolas Monmarché, Lhassane Idoumghar, Denis Pallez, Patrick Siarry, Evelyne Lutton
This book constitutes the refereed post-conference proceedings of the 16th International Conference on Artificial Evolution, EA 2024, held in Bordeaux...
hal-05436738
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2024

Article dans une revue

Using spatial aggregation of soil multifunctionality maps to support uncertainty‐aware planning decisions
Léa Courteille, Philippe Lagacherie, Nadia Boukhelifa, Evelyne Lutton, Léa Tardieu
To ensure soil preservation, it is essential to incorporate the soil's ability to provide ecosystem services into the spatial planning process. For we...
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2023

Pré-publication, Document de travail

Machine learning for agri-food processes: 4 learning from data, human knowledge and interactions| Book chapter Part of ISBN: 9780323984836 Current developments in biotechnology and bioengineering 2022
Nathalie Mejean-Perrot, Alberto Tonda, Nadia Boukhelifa, Ilaria Brunetti, Anastasia Bezerianos, Evelyne Lutton
This chapter presents three examples of data-based machine learning on time series. The common denominator of these case studies is the sparseness of ...
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In situ digestion of canola protein gel observed by synchrotron X-Ray Scattering
Maja Napieraj, Annie Brûlet, Javier Perez, François Boué, Evelyne Lutton
We address the issue of structure changes of a canola protein gel (as a solid food model) during gastrointestinal digestion. We present a method for s...
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Poster de conférence

Neural-like computation using bacterial metabolism to solve machine-learning problems
Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec, Jean-Loup Faulon
Throughout evolution, bacteria have acquired the ability to sense variations of the concentrations of nutrients in their growth medium. According to t...
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Solving regression problems using bacterial metabolism
Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec, Jean-Loup Faulon
Throughout evolution, bacteria have acquired the ability to sense variations of the concentrations of nutrients in their growth medium. According to t...
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Evaluation of information processing capacity of bacterial metabolism through regression problem solving
Paul Ahavi, Bastien Mollet, Antoine Cornuéjols, Evelyne Lutton, Alberto Tonda, Audrey Le Gouellec, Jean-Loup Faulon
Throughout evolution, bacteria have acquired the ability to sense variations of the concentrations of nutrients in their growth medium. According to t...
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Ouvrages

Artificial Evolution, 15th International Conference, Evolution Artificielle, EA 2022, Exeter, UK, October 31 - November 2, 2022, Revised Selected Papers
Pierrick Legrand, Arnaud Liefooghe, Edward Keedwell, Julien Lepagnot, Lhassane Idoumghar, Nicolas Monmarché, Evelyne Lutton

hal-04194174
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Communication dans un congrès

Towards Evolutionary Control Laws for Viability Problems
Alberto Tonda, Isabelle Alvarez, Sophie Martin, Giovanni Squillero, Evelyne Lutton
The mathematical theory of viability, developed to formalize problems related to natural and social phenomena, investigates the evolution of dynamical...
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Article dans une revue

Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise
Nathalie Mejean Perrot, Alice Roche, Alberto Tonda, Evelyne Lutton, Thierry Thomas-Danguin
Odor is central to food quality. Still, a major challenge is to understand how the odorants present in a given food contribute to its specific odor pr...
hal-04336187
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2022

Article dans une revue

Digital revolution for the agroecological transition of food systems: a responsible research and innovation perspective
Véronique Bellon Maurel, Evelyne Lutton, Pierre Bisquert, Ludovic Brossard, Stephanie Chambaron, Pierre Labarthe, Philippe Lagacherie, François Martignac, Jérôme Molenat, Nicolas Parisey, Sébastien Picault, Isabelle Piot-Lepetit, Isabelle Veissier
CONTEXTSo far, digital technology development in agriculture has mainly dealt with precision agriculture, often associated with conventional large-sca...
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Monitoring food structure in plant protein gels during digestion: Rheometry and Small Angle Neutron Scattering studies
Maja Napieraj, Annie Brûlet, Evelyne Lutton, Urielle Randrianarisoa, Adeline Boire, François Boué
We studied rheology and nanostructures (by Small Angle Neutron Scattering) of heat-set canola seed protein gels, containing cruciferin and napin, prep...
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Glycemic response, satiety, gastric secretions and emptying after bread consumption with water, tea or lemon juice: a randomized crossover intervention using MRI
Daniela Freitas, François Boué, Mourad Benallaoua, Gheorghe Airinei, Robert Benamouzig, Evelyne Lutton, Laurène Jourdain, Rose-Marie Dubuisson, Xavier Maître, Luc Darrasse, Steven Le Feunteun
Purpose Numerous studies, including our previous work with lemon juice, have reported that low-pH meals reduce the glycemic response to starchy foods....
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Quantitative Neutron Dark-Field Imaging of Milk: A Feasibility Study
Youngju Kim, Jacopo Valsecchi, Ohsung Oh, Jongyul Kim, Seung Wook Lee, Francois Boue, Evelyne Lutton, Matteo Busi, Christopher Garvey, Markus Strobl
Scattering studies of milk and milk products, which are highly relevant food products on the global market, are often utilized and reported in literat...
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Communication dans un congrès

Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm Intelligence
Evelyne Lutton, Shatha F. Al-Maliki, Jean Louchet, Alberto Tonda, Franck Vidal
Particle Swarm Optimisation (PSO) and Evolutionary Algorithms (EAs) differ in various ways, in particular with respect to information sharing and dive...
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Agent-based modelling of enzymatic digestion using experimental data
Evelyne Lutton, Beichen Ji, Alberto Tonda, François Boué
Human digestion is a complex process that involves diffusion and reaction effects where enzymes govern the denaturation and breakdown of proteins. In ...
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Ground-Truth Segmentation of the Spinal Cord from 3T MR Images Using Evolutionary Computation
Mohamed Mounir El Mendili, Noémie Villard, Brice Tiret, Raphaël Chen, Damien Galanaud, Benoit Magnin, Stéphane Lehericy, Pierre-François Pradat, Evelyne Lutton, Salma Mesmoudi
Spinal cord atrophy is one of the neuroimaging features associated with neurodegenerative diseases, inflammatory diseases and trauma. MR images segmen...
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Chapitre d'ouvrage

Foundations and state of play
Nathalie Mitton, Ludovic Brossard, Tassadit Bouadi, Frédérick Garcia, Romain Gautron, Nadine Hilgert, Dino Ienco, Christine Largouët, Evelyne Lutton, Véronique Masson, Roger Martin-Clouaire, Marie-Laure Mugnier, Pascal Neveu, Philippe Preux, Helene Raynal, Catherine Roussey, Alexandre Termier, Véronique Bellon Maurel

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Fondements et état de l'art
Nathalie Mitton, Ludovic Brossard, Tassadit Bouadi, Frédérick Garcia, Romain Gautron, Nadine Hilgert, Dino Ienco, Christine Largouët, Evelyne Lutton, Véronique Masson, Roger Martin-Clouaire, Marie-Laure Mugnier, Pascal Neveu, Philippe Preux, Helene Raynal, Catherine Rousset, Alexandre Termier, Véronique Bellon-Maurel

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Les défis de demain
Ludovic Brossard, Véronique Bellon Maurel, Pierre Bisquert, Tassadit Bouadi, Frédérick Garcia, Roland Lenain, Pierre P. Labarthe, Evelyne Lutton, Pierre Maurel, Nathalie Mitton, Alexandre Termier
Ce livre blanc est une initiative des directions générales d’INRAE et d’Inriaqui nous ont rassemblés, missionnés et nous ont donné carte blan...
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Challenges for the future
Ludovic Brossard, Véronique Bellon Maurel, Pierre Bisquert, Tassadit Bouadi, Frédérick Garcia, Roland Lenain, Pierre P. Labarthe, Evelyne Lutton, Pierre Maurel, Nathalie Mitton, Alexandre Termier

hal-03667491 | ⬇️ Télécharger
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Machine learning for agri-food processes: learning from data, human knowledge and interactions
Nathalie Mejean Perrot, Alberto Tonda, Nadia Boukhelifa, Ilaria Brunetti, Anastasia Bezerianos, Evelyne Lutton
This chapter presents three examples of data-based machine learning on time series. The common denominator of these case studies is the sparseness of ...
hal-04230255 | ⬇️ Télécharger
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2021

Communication dans un congrès

A Case Study of Using Analytic Provenance to Reconstruct User Trust in a Guided Visual Analytics System
Nadia Boukhelifa, Evelyne Lutton, Anastasia Bezerianos
In this paper, we demonstrate how analytic provenance can be exploited to re-construct user trust in a guided Visual Analytics (VA) system, and sugges...
hal-03503231 | ⬇️ Télécharger
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2020

Communication dans un congrès

Recognising specific foods in MRI scans using CNN and visualisation
Joshua Gardner, Shatha Al-Maliki, E. Lutton, François Boué, Franck Vidal

hal-03354095
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Chapitre d'ouvrage

A Novel Outlook on Feature Selection as a Multi-objective Problem
Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Tonda

hal-03354048
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Ouvrages

Artificial Evolution
Lhassane Idoumghar, Pierrick Legrand, Arnaud Liefooghe, Evelyne Lutton, Nicolas Monmarché, Marc Schoenauer
This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA 2019, held ...
hal-03175883
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2019

Communication dans un congrès

Le développement de l’intelligence professionnelle en recherche : des situations de travail des doctorants et encadrants à un dispositif de formation pour favoriser la réussite de leurs apprentissages croisés
Genevieve Aubin-Houzelstein, Nathalie Girard, Veronique Broussolle, Michaël Chelle, Laurence Fortun-Lamothe, Frédéric Garcia, Evelyne Lutton, Arielle Santé
La thèse est un processus d’apprentissage du métier de chercheur et nécessite de développer une intelligence professionnelle spécifique. Cet ap...
hal-02736029
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Towards the improvement of food flavour analysis: Modelling chemical and sensory data and expert knowledge integration
Thierry Thomas-Danguin, Alice Roche, Evelyne Lutton, Nathalie Mejean-Perrot

hal-02788681
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Modélisation interactive en agro-alimentaire: l’outilLiDeoGraM
Evelyne Lutton, Nadia Boukhelifa, Alberto Tonda, Thomas Chabin, Nathalie Méjean, Jean-Daniel Fekete
Modelling complex agrifood processes like for instance cheese ecosystems is challenging due to the complex multi-scale nature of interactions among an...
hal-02737033 | ⬇️ Télécharger
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An Exploratory Study on Visual Exploration of Model Simulations by Multiple Types of Experts
Nadia Boukhelifa, Anastasia Bezerianos, Ioan Cristian Trelea, Nathalie Perrot, Evelyne Lutton
Experts in different domains rely increasingly on simulation models of complex processes to reach insights, make decisions, and plan future projects. ...
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Article dans une revue

Former ensemble doctorants et encadrants à l’Inra, un institut de recherche pluridisciplinaire et finalisé
Nathalie Girard, Genevieve Aubin-Houzelstein, Veronique Broussolle, Michaël Chelle, Laurence Fortun-Lamothe, Frederick Garcia, Evelyne Lutton, Arielle Santé
L’encadrement de doctorants est un processus complexe où activité de recherche, connaissances et individus sont étroitement liés dans un systèm...
hal-02621799
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Monitoring food structure during digestion using small-angle scattering and imaging techniques
Jade Pasquier, Annie Brûlet, Adeline Boire, Frédéric Jamme, Javier Perez, Thomas Bizien, Evelyne Lutton, François Boué
Various studies have shown that food structure has an impact on digestion kinetics. We focus here on the effects of gastric and intestinal enzymes (in...
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Multi-Criteria Reverse Engineering for Food: Genesis and Ongoing Advances
Rallou Thomopoulos, Cédric Baudrit, Nadia Boukhelifa, Rachel Boutrou, Patrice Buche, Elisabeth Guichard, Valérie Guillard, Evelyne Lutton, Pierre-Sylvain Mirade, Amadou Ndiaye, Nathalie Perrot, Franck Taillandier, Thierry Thomas-Danguin, Alberto Tonda
Multi-criteria reverse engineering (MRE) has arisen from the cross-fertilization of advances in mathematics and shifts in social demand. MRE, thus, ma...
hal-01993348 | ⬇️ Télécharger
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2018

Communication dans un congrès

MRI Gastric images processing using a multiobjective fly algorithm
Shatha Al-Maliki, Evelyne Lutton, François Boue, Franck Vidal
In this study, we combine computer vision and visualisation/data exploration to analyse magnetic resonance imaging (MRI) data and detect garden peas i...
hal-02266292
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Human in the loop for modelling food and biological systems: a perspective based on Artificial Intelligence
Evelyne Lutton, Nathalie Perrot

hal-02786708
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Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science
Nathalie Perrot, Nadia Boukhelifa, Alberto Tonda, Thomas Chabin, Marc Barnabe, Dominique Swennen, Alice Roche, Thierry Thomas-Danguin, Evelyne Lutton
Since centuries, agriculture, food and biological systems are strongly linked to human expertise, albeit such knowledge has been capitalized and share...
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A semi-automatic modelling approach for the production and freeze drying of lactic acid bacteria
Thomas Chabin, Marc Barnabe, Alberto Tonda, Nadia Boukhelifa, Fernanda Fonseca, Eric Dugat-Bony, Helene Velly, Evelyne Lutton, Nathalie Perrot
The production system of freeze-dried lactic acid bacteria involves several processes, but its impact on bacteria resistance is still not well underst...
hal-02266291
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Evolutionary interactive analysis of MRI gastric images using a multiobjective cooperative-coevolution Ssheme
Shatha F. Al-Maliki, Evelyne Lutton, François Boué, Franck Vidal
In this study, we combine computer vision and visualisation/data exploration to analyse magnetic resonance imaging (MRI) data and detect garden peas i...
hal-02266289
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LIDeOGraM: an interactive evolutionary modelling tool
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Hélène Velly, Benjamin Lemaitre, Nathalie Perrot, Evelyne Lutton
Building complex models from available data is a challenge in many domains, and in particular in food science. Numerical data are often not enough str...
hal-02736924
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Ouvrages

Artificial Evolution, 13th International Conference, Evolution Artificielle, EA 2017, Paris, France, October 25-27, 2017, Revised Selected Papers
Evelyne Lutton, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, Marc Schoenauer
This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on Artificial Evolution, EA 2017, held ...
hal-01910443
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Chapitre d'ouvrage

Interactive Machine Learning for Applications in Food Science and Technology
Alberto Tonda, Nadia Boukhelifa, Thomas Chabin, Marc Barnabe, Benoît Génot, Evelyne Lutton, Nathalie Perrot
The apparent simplicity of food processes often hides complex systems,where physical, chemical and living organisms’ processes co-exist and interact...
hal-02482108
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Evaluation of interactive machine learning systems
Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
The evaluation of interactive machine learning systems remains a difficult task. These systems learn from and adapt to the human, but at the same time...
hal-02791670 | ⬇️ Télécharger
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Article dans une revue

Multiscale modeling for bioresources and bioproducts
Marc Barnabe, Nicolas Blanc, Thomas Chabin, Jean-Yves Delenne, Agnès Duri-Bechemilh, Xavier Frank, Virginie Hugouvieux, Evelyne Lutton, Frederic Mabille, Saeid Nezamabadi, Nathalie Perrot, Farhang Radjai, Thierry Ruiz, Alberto Tonda
Designing and processing complex matter and materials are key objectives of bioresource and bioproduct research. Modeling approaches targeting such sy...
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Guest editorial: Special issue on genetic programming, evolutionary computation and visualization
Nadia Boukhelifa, Evelyne Lutton

hal-02619702
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Exploring the breakdown of dairy protein gels during in vitro gastric digestion using time-lapse synchrotron deep-UV fluorescence microscopy
Juliane Floury, Tiago Bianchi, Jonathan Thévenot, Didier Dupont, Frédéric Jamme, Evelyne Lutton, Maud Panouille, François Boue, Steven Le Feunteun
A novel time-lapse synchrotron deep-UV microscopy methodology was developed that made use of the natural tryptophan fluorescence of proteins. It enabl...
hal-01580650 | ⬇️ Télécharger
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2017

Poster de conférence

Exploring the diffusion of pepsin and hydrolysis kinetics of dairy protein gels during simulated gastric digestion using advanced microscopic techniques
Juliane Floury, Jonathan Thevenot, Didier Dupont, Frederic Jamme, Evelyne Lutton, Maud Panouille, François Boue, Steven Le Feunteun
The most common hypothesis to explain the influence of food structure on digestion rates is that the proteolysis may be first limited in the stomach b...
hal-01651304
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Evolution of food gel structures during simulated gastro-intestinal digestion using Small Angle Scattering at SOLEIL synchrotron
Evelyne Lutton, Jonathan Thevenot, Steven Le Feunteun, Juliane Floury, Maud Panouille, Didier Dupont, Pierre Roblin, François Boue
The tools developed in soft matter physics are of particular interest to characterize food micro- and nanostructures and monitor how they evolve under...
hal-01581553
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Exploring the gastric breakdown of milk protein gels by time-lapse synchrotron deep-UV microscopy
Juliane Floury, Jonathan Thevenot, Didier Dupont, F. Jamme, Evelyne Lutton, Maud Panouille, François Boue, Steven Le Feunteun
Gastric digestion of food is the result of physical disintegration and enzymatic reactions leading to the release of nutrients. Depending on the gelat...
hal-01552152
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Communication dans un congrès

Interactive evolutionary modelling of living complex food systems
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Helene Velly, Nathalie Perrot, Evelyne Lutton
Modelling the production and stabilisation process of lactic acid starters has several practical applications, ranging from assessing the e!cacy of ne...
hal-01607872 | ⬇️ Télécharger
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Developing reflexivity in the PhD student – supervisor(s) system: An innovative training programme in a French research institute
Nathalie Girard, Veronique Broussolle, Michaël Chelle, Frederick Garcia, Dany Hoch, Laurence Lamothe, Evelyne Lutton, Arielle Santé
Doctoral supervision has been described as a process, where research, knowledge and individuals are intertwined in a transformative process of a bidir...
hal-01594777
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LIDeOGraM : an interactive evolutionary modelling tool
Thomas Chabin, Marc Barnabe, Nadia Boukhelifa, Fernanda Fonseca, Alberto Tonda, Helene Velly, Benjamin Lemaitre, Nathalie Perrot, Evelyne Lutton
Building complex models from available data is a challenge in many domains, and in particular in food science. Numerical data are often not enough str...
hal-01607681 | ⬇️ Télécharger
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Interactive knowledge integration in modelling for food sustainability : challenges and prospects
Nadia Boukhelifa, Alberto Tonda, Ioan-Cristian Trelea, Nathalie Perrot, Evelyne Lutton
The availability of reliable and trustworthy models for agrifood processes is crucial to evaluate and predict the environmental impact of the process ...
hal-01604947 | ⬇️ Télécharger
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Article dans une revue

Voxelisation in the 3-D Fly Algorithm for PET
Zainab Ali Abbood, Julien Lavauzelle, Evelyne Lutton, Jean-Marie Rocchisani, Jean Louchet, Franck P. Vidal
The Fly Algorithm was initially developed for 3-D robot vision applications. It consists in solving the inverse problem of shape reconstruction from p...
hal-02621816 | ⬇️ Télécharger
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Evolutionary Visual Exploration: Evaluation of an IEC Framework for Guided Visual Search
Nadia Boukhelifa, Anastasia Bezerianos, Waldo Cancino, Evelyne Lutton
We evaluate and analyse a framework for Evolutionary Visual Exploration (EVE) that guides users in exploring large search spaces. EVE uses an interact...
hal-01218959 | ⬇️ Télécharger
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EDEN, an innovative training programme in a French research institute to develop reflexivity in the PhD student – supervisor(s) system
Nathalie Girard, Veronique Broussolle, Michaël Chelle, Frederick Garcia, Dany Hoch, Laurence Lamothe, Evelyne Lutton, Arielle Santé
EDEN, an innovative training programme in a French research institute to develop reflexivity in the PhD student – supervisor(s) system...
hal-01606474
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2016

Ouvrages

Evolutionary Algorithms for Food Science and Technology
Evelyne Lutton, Nathalie Perrot, Alberto Tonda

hal-02481758
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Evolutionary algorithms for food science and technology
Evelyne Lutton, Nathalie Perrot, Alberto Tonda
Evolutionary algorithms for food science and technology...
hal-02266288
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Poster de conférence

Gastric digestion of milk protein gels as assessed by time-lapse Synchrotron UV-microscopy
Jonathan Thevenot, Juliane Floury, Frédéric Jamme, Maud Panouille, Evelyne Lutton, François Boue, Didier Dupont, Steven Le Feunteun
Gastric digestion is the result of physical disintegration, acidic hydrolysis and enzymatic reactions leading to the release of nutrients which are ab...
hal-01357490
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Communication dans un congrès

Food science : human factor Iisues
Evelyne Lutton, Alberto Tonda, Nadia Boukhelifa, Nathalie Perrot
absent...
hal-01366587
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Complex Systems in Food Science: Human Factor Issues
Evelyne Lutton, Alberto Tonda, Nadia Boukhelifa, Nathalie Perrot

hal-02482084
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Digestion of milk protein gels in simulated gastric environment: exploration of the disintegration process and diffusion behavior of pepsin
Juliane Floury, Tiago Bianchi, Jonathan Thevenot, Didier Dupont, Frederic Jamme, Evelyne Lutton, Maud Panouille, François Boue, Steven Le Feunteun
The gastric digestion comprises three phases: physical disintegration, chemical breakdown and nutrient release. Controlling food proteins gelation con...
hal-01250499
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Research prospects in the design and evaluation of interactive evolutionary systems for art and science
Nadia Boukhelifa, Anastasia Bezerianos, Alberto Tonda, Evelyne Lutton
We report on our experience in designing and evaluating seven applications from seven different domains using an interactive evolutionary approach. We...
hal-01532589
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Article dans une revue

Some remarks on computational approaches towards sustainable complex agri-food systems
Nathalie Perrot, Hugo de Vries, Evelyne Lutton, Harald G. J. van Mil, Mechthild Donner, Alberto Tonda, Sophie Martin, Isabelle Alvarez, Paul Bourgine, Erik van Der Linden, Monique Axelos
Abstract Background Agri-food is one of the most important sectors of the industry in Europe and potentially a major contributor to the global warming...
hal-01269357 | ⬇️ Télécharger
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Proceedings/Recueil des communications

Artificial Evolution 2015
Stephane Bonnevay, Pierrick Legrand, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Artificial Evolution, EA 2015, held ...
hal-01389072
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2015

Communication dans un congrès

How to mislead an evolutionary algorithm using global sensitivity analysis
Thomas Chabin, Alberto Tonda, Evelyne Lutton
The idea of exploiting Global Sensitivity Analysis (GSA) to make Evolutionary Algorithms more effective seems very attractive: intuitively, a probabil...
hal-01365972
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Is global sensitivity analysis useful to evolutionary computation?
Thomas Chabin, Alberto Tonda, Evelyne Lutton
Global Sensitivity Analysis (GSA) studies how uncertainty in the inputs of a system influences uncertainty in its outputs. GSA is extensively used by ...
hal-01366572
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A Mixed Approach for the Evaluation of a Guided Exploratory Visualization System
Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
We summarise and reflect upon our experience in evaluating a guided exploratory visualization system. Our system guides users in their exploration of ...
hal-01153887 | ⬇️ Télécharger
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Article dans une revue

Visual and Audio Monitoring of Island Based Parallel Evolutionary Algorithms
Evelyne Lutton, Hugo Gilbert, Waldo Cancino, Benjamin Bach, Joseph Pallamidessi, Pierre Parrend, Pierre Collet
Monitoring and visualisation tools are currently attracting more and more attention in order to understand how search spaces are explored by complex o...
hal-01536557
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Erratum to :"Food model exploration through evolutionary optimization coupled with visualization: Application to the prediction of a milk gel structure
Evelyne Lutton, Alberto Tonda, Sébastien Gaucel, Alain Riaublanc, Nathalie Perrot
Erratum to :"Food model exploration through evolutionary optimization coupled with visualization: Application to the prediction of a milk gel structur...
hal-01535350
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2014

Communication dans un congrès

GridVis: Visualisation of Island-Based Parallel Genetic Algorithms
Evelyne Lutton, Gilbert Hugo, Cancino Waldo, Benjamin Bach, Pierre Parrend, Pierre Collet
Island Model parallel genetic algorithms rely on various mi- gration models and their associated parameter settings. A fine under- standing of how the...
hal-01059411
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Learning dynamical systems using standard symbolic regression
Sébastien Gaucel, Maarten Keijzer, Evelyne Lutton, Alberto Tonda
Symbolic regression has many successful applications in learning free-form regular equations from data. Trying to apply the same approach to different...
hal-01365975
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Coupling deterministic and random sequential approaches for structure and texture prediction of a dairy oil-in-water emulsion (présentation orale)
Etienne Descamps, Nathalie Perrot, Sébastien Gaucel, Ioan Cristian Tréléa, Alain Riaublanc, Alan Mackie, Evelyne Lutton
no abstract...
hal-01598169
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Proceedings/Recueil des communications

Artificial Evolution, 11th Internatioanl Conference, Evolution Artificielle, EA, 2013, Bordeaux, France, revised selected papers.
Pierrick Legrand, Marc-Michel Corsini, Jin-Kao Hao, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
This LNCS volume includes the best papers presented at the 11th Biennial International Conference on Artificial Evolution, EA 2 2013, held in Bordeaux...
hal-01060324
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Article dans une revue

Food model exploration through evolutionary optimisation coupled with visualisation: Application to the prediction of a milk gel structure
Evelyne Lutton, Alberto Paolo Tonda, Sebastien Gaucel, Alain Riaublanc, Nathalie Perrot
Obtaining reliable in-silico food models is fundamental for a better understanding of these systems. The complex phenomena involved in these real-worl...
hal-01195498
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Coupling deterministic and random sequential approaches for structure and texture prediction of a dairy oil-in-water emulsion
Etienne Descamps, Nathalie Perrot, Ioan-Cristian Trelea, Sebastien Gaucel, Alain Riaublanc, Alan Mackie, Evelyne Lutton
Dairy products made of concentrated milk protein powder and milk fat have been experimentally shown to behave like complex systems: The resulting text...
hal-01195497 | ⬇️ Télécharger
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2013

Communication dans un congrès

Balancing user interaction and control in BNSL
Alberto Tonda, André Spritzer, Evelyne Lutton
In this paper we present a study based on an evolutionary framework to explore what would be a reasonable compromise between interaction and automated...
hal-01195494
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Evolutionary Visual Exploration: Experimental Analysis of Algorithm Behaviour
Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Anastasia Bezerianos, Evelyne Lutton
Recent publications in the domains of interactive evolution- ary computation and data visualisation consider an emerg- ing topic coined Evolutionary V...
hal-00818641 | ⬇️ Télécharger
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Food model exploration through evolutionary optimisation coupled with visualisation: Application to the prediction of a milk gel structure
Evelyne Lutton, Alberto Paolo Tonda, Sébastien Gaucel, Alain Riaublanc, Nathalie Perrot
Obtaining reliable in-silico food models is fundamental for a better understanding of these systems. The complex phenomena involved in these real-worl...
hal-02749117
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Coupling deterministic and random sequential approaches for structure and texture prediction of a dairy oil-in-water emulsion
Etienne Descamps, Nathalie Perrot, Sébastien Gaucel, Ioan-Cristian I.-C. Trelea, Alain Riaublanc, Alan Mackie, Evelyne Lutton
Dairy products made of concentrated milk protein powder and milk fat have been experimentally shown to behave like complex systems: The resulting text...
hal-02739639
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Automatic tuning of respiratory model for patient-based simulation
Franck P. Vidal, Pierre-Frédéric Villard, Evelyne Lutton
This paper is an overview of a method recently pub- lished in a biomedical journal (IEEE Transactions on Biomedical Engineering1). The method is based...
hal-00824228 | ⬇️ Télécharger
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A Memetic Approach to Bayesian Network Structure Learning
Alberto Tonda, Evelyne Lutton, Giovanni Squillero, Pierre-Henri Wuillemin
Bayesian networks are graphical statistical models that represent inference between data. For their effectiveness and versatility, they are widely ado...
hal-01221601
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Article dans une revue

Evolutionary Visual Exploration: Evaluation With Expert Users
Nadia Boukhelifa, Waldo Gonzalo Cancino Ticona, Anastasia Bezerianos, Evelyne Lutton
We present an Evolutionary Visual Exploration (EVE) system that combines visual analytics with stochastic optimisation to aid the exploration of multi...
hal-00805234 | ⬇️ Télécharger
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2012

Communication dans un congrès

Automatic generation of on-line test programs through a cooperation scheme
Lyl Mercedes Ciganda, Marco Gaudesi, Evelyne Lutton, Ernesto Sanchez, Giovanni Squillero, Alberto Tonda
Test programs for Software-based Self-Test (SBST) can be exploited during the mission phase of microprocessor-based systems to periodically assess har...
hal-01366578
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Interactive Random Graph Generation with Evolutionary Algorithms
Benjamin Bach, André Spritzer, Evelyne Lutton, Jean-Daniel Fekete
This article introduces an interactive system called GraphCuisine that lets users steer an Evolutionary Algorithm (EA) to create random graphs matchin...
hal-00720161 | ⬇️ Télécharger
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EvoGraphDice: Interactive Evolution for Visual Analytics
Waldo Gonzalo Cancino Ticona, Nadia Boukhelifa, Evelyne Lutton
Visualization of large and complex datasets is a research challenge, especially in frameworks like industrial design, decision making and visual analy...
hal-00721999 | ⬇️ Télécharger
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Bayesian Network Structure Learning from Limited Datasets through Graph Evolution
Alberto Tonda, Evelyne Lutton, Romain Reuillon, Giovanni Squillero, Pierre-Henri Wuillemin
Bayesian networks are stochastic models, widely adopted to encode knowledge in several fields. One of the most interesting features of a Bayesian netw...
hal-00757529 | ⬇️ Télécharger
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Article dans une revue

A benchmark for cooperative coevolution
Alberto Tonda, Evelyne Lutton, Giovanni Squillero
Cooperative co-evolution algorithms (CCEA) are a thriving sub-field of evolutionary computation. This class of algorithms makes it possible to exploit...
hal-00758187 | ⬇️ Télécharger
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Tuning of patient specific deformable models using an adaptive evolutionary optimization strategy
Franck P. Vidal, Pierre-Frédéric Villard, Evelyne Lutton
We present and analyze the behavior of an evolutionary algorithm designed to estimate the parameters of a complex organ behavior model. The model is a...
hal-00731910 | ⬇️ Télécharger
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Ouvrages

Artificial Evolution 2011 : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers
Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer

hal-00643404
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Artificial Evolution - 10th International Conference, Evolution Artificielle, EA 201. Revised Selected Papers
Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer
no abstract...
hal-03256241
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2011

Communication dans un congrès

Visual analysis of population scatterplots
Evelyne Lutton, Julie Foucquier, Nathalie Perrot, Jean Louchet, Jean-Daniel Fekete
We investigate how visual analytic tools can deal with the huge amount of data produced during the run of an evolutionary algorithm. We show, on toy e...
hal-00642307 | ⬇️ Télécharger
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Lamps : A test problem for cooperative coevolution
Alberto Tonda, Evelyne Lutton, Giovanni Squillero
We present an analysis of the behaviour of Cooperative Co-evolution agorithms (CCEAs) on a simple test problem, that is the optimal placement of a set...
hal-00642304 | ⬇️ Télécharger
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Visual Analytics of EA Data
Evelyne Lutton, Jean-Daniel Fekete
An experimental analysis of evolutionary algorithms usually generates a huge amount of multidimensional data, including numeric and symbolic data. It ...
hal-00642300 | ⬇️ Télécharger
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Cooperative coevolution for agrifood process modeling
Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin, Cédric Baudrit, Mariette Sicard, Nathalie Perrot
On the contrary to classical schemes of evolutionary optimisations algorithms, single population Cooperative Co-evolution techniques (CCEAs, also call...
hal-02746946
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The complex system science for optimal strategy of management of a food system: the camembert cheese ripening
Nathalie Perrot, Salma Mesmoudi, Romain Reuillon, Evelyne Lutton, Isabelle Alavarez
Significant advances are needed for food systems in terms of real-time prognosis capability developments, incorporating large scale modelling, distrib...
hal-00840747 | ⬇️ Télécharger
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Rapport

Visual analytics and experimental analysis of evolutionary algorithms
Evelyne Lutton, Jean-Daniel Fekete
Experimental analysis of evolutionary algorithms usually aims at tuning the parameter setting or at improving knowledge about internal mechanisms (ope...
inria-00587170 | ⬇️ Télécharger
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Article dans une revue

Speciation in Behavioral Space for Evolutionary Robotics
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton, Francisco Fernandez de Vega, Leon Dozal, Eddie Clemente
In Evolutionary Robotics, population-based evolutionary computation is used to design robot neurocontrollers that produce behaviors which allow the ro...
hal-00642312 | ⬇️ Télécharger
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Chapitre d'ouvrage

Lamps : a test problem for cooperative coevolution
Alberto Tonda, Evelyne Lutton, Giovanni Squillero
We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a simple test problem, that is the optimal placement of a se...
hal-01374165
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Proceedings/Recueil des communications

Artificial Evolution
Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer

hal-01067820
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2010

Communication dans un congrès

Optimal viable path search for a cheese ripening process using a multi-objective EA.
Salma Mesmoudi, Nathalie Perrot, Romain Reuillon, Paul Bourgine, Evelyne Lutton
Viability theory is a very attractive theoretical approach for the modeling of complex dynamical systems. However, its scope of application is limited...
hal-00783852 | ⬇️ Télécharger
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Threshold selection, mitosis and dual mutation in cooperative co-evolution: application to medical 3d tomography
Franck P. Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani
We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET rec...
hal-00783841 | ⬇️ Télécharger
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Independence Model estimation using Artificial Evolution
Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin
In this paper, we consider a Bayesian network structure estimation problem as a two step problem based on an independence model representation. We fir...
hal-00467586 | ⬇️ Télécharger
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Hand posture recognition using real-time artificial evolution
Benoît Kaufmann, Jean Louchet, Evelyne Lutton
In this paper, we present a hand posture recognition system (configuration and position) we designed as part of a gestural man-machine interface. Afte...
hal-00783828 | ⬇️ Télécharger
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New genetic operators in the fly algorithm: application to medical PET image reconstruction
Franck P. Vidal, Jean Louchet, Jean-Marie Rocchisani, Evelyne Lutton
Our reconstruction method is based on a cooperative coevolution strategy (also called Parisian evolution): the "fly algorithm". Each fly is a 3D point...
hal-00783832 | ⬇️ Télécharger
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Artificial evolution for PET and SPECT reconstruction
Franck P Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani
We propose an evolutionary approach for image reconstruction in nuclear medicine. Our method is based on a cooperative coevolution strategy (also call...
hal-00783332 | ⬇️ Télécharger
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Proceedings/Recueil des communications

Artificial Evolution
Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, Evelyne Lutton

hal-01067814
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Ouvrages

Evolution Artificielle 2009
Pierre Collet, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, Evelyne Lutton

hal-00643446
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2009

Rapport

Modeling an agrifood industrial process using cooperative coevolution Algorithms
Olivier Barrière, Evelyne Lutton, Pierre-Henri Wuillemin, Cédric Baudrit, Mariette Sicard, Bruno Pinaud, Nathalie Perrot
This report presents two experiments related to the modeling of an industrial agrifood process using evolutionary techniques. Experiments have been fo...
inria-00381681 | ⬇️ Télécharger
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2008

Ouvrages

Artificial evolution
Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, Evelyne Lutton

hal-00836309
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Artificial Evolution 8th International Conference, Évolution Artificielle
Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, Evelyne Lutton

hal-01067807
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Communication dans un congrès

Modeling human expertise on a cheese ripening industrial process using GP
Olivier Barrière, Evelyne Lutton, Cédric Baudrit, Mariette Sicard, Bruno Pinaud

inria-00335956
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2007

Article dans une revue

Interactive evolution for cochlear implants fitting
Pierrick Legrand, Claire Bourgeois-Republique, Vincent Pean, Esther Harboun-Cohen, Jacques Lévy Véhel, Bruno Frachet, Evelyne Lutton, Pierre Collet
Cochlear implants are devices that become more and more sophisticated and adapted to the need of patients, but at the same time they become more and m...
hal-00294838 | ⬇️ Télécharger
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A new regularity based descriptor computed from local image oscillations.
Leonardo Trujillo, Gustavo Olague, Pierrick Legrand, Evelyne Lutton
This work presents a novel local image descriptor based on the concept of pointwise signal regularity. Local image regions are extracted using either ...
hal-00294862 | ⬇️ Télécharger
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Communication dans un congrès

Overcompressing JPEG images
Jacques Lévy Véhel, Franklin Mendivil, Evelyne Lutton
Overcompression is the process of post-processing compressed images to gain either further size reduction or improved quality. This is made possible b...
hal-00539221 | ⬇️ Télécharger
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Chapitre d'ouvrage

Evolutionary multifractal signal/image denoising
Evelyne Lutton, Jacques Lévy Véhel
This chapter investigates the use of Evolutionary techniques for multifractal signal/image denoising. Two strategies are considered: using evolution a...
hal-00539226 | ⬇️ Télécharger
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2006

Communication dans un congrès

Pointwise Regularity of Fitness Landscapes and the Performance of a Simple ES
Evelyne Lutton, Jacques Lévy Véhel
We present a theoretical and experimental analysis of the influence of the pointwise irregularity of the fitness function on the behavior of an (1+1)E...
hal-00539276 | ⬇️ Télécharger
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Evolutionary denoising based on an estimation of Hölder exponents with oscillations.
Pierrick Legrand, Evelyne Lutton, Gustavo Olague
In multifractal denoising techniques, the acuracy of the Holder exponents estimations is crucial for the quality of the outputs. In continuity with th...
hal-00294873 | ⬇️ Télécharger
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Article dans une revue

Projet ECHO, Système de notation automatique pour l'E-Learning.
Grégory Valigiani, Evelyne Lutton, Pierre Collet
Ce travail de recherche se place dans le cadre de l'adaptation du paradigme de l'Optimisation par Colonie de Fourmis (OCF) à l'environnement du logic...
edutice-00285128 | ⬇️ Télécharger
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Rapport

Experiments on controlled regularity fitness landscapes
Evelyne Lutton, Jacques Lévy Véhel, Yann Landrin-Schweitzer
We present an experimental analysis of the influence of the local irregularity of the fitness function on the behavior of a simple version of an evolu...
inria-00070202 | ⬇️ Télécharger
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2005

Communication dans un congrès

The Fitness Map Scheme. Application to interactive multifractal image denoising
Evelyne Lutton, Mario Pilz, Jacques Lévy Véhel
Interactive evolutionary algorithms (IEA) often suffer from what is called the user bottleneck. In this paper, we propose and analyse a method to limi...
hal-00539352 | ⬇️ Télécharger
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An Interactive EA for Multifractal Bayesian Denoising
Evelyne Lutton, Pierre Grenier, Jacques Lévy Véhel
We present in this paper a multifractal bayesian denoising technique based on an interactive EA. The multifractal denoising algorithm that serves as a...
hal-00539290 | ⬇️ Télécharger
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Article dans une revue

Evolutionary Optimisation for Obstacle Detection and Avoidance in Mobile Robotics
Olivier Pauplin, Jean Louchet, Evelyne Lutton, Arnaud de La Fortelle
This paper presents an artificial evolution-based method for stereo image analysis and its application to real-time obstacle detection and avoidance f...
inria-00000495 | ⬇️ Télécharger
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Ouvrages

Fractals in Engineering - New Trends in Theory and Applications
Jacques Lévy Véhel, Evelyne Lutton

inria-00558760
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Rapport

Interactivité efficace pour les algorithmes évolutionnaires interactifs. Application au débruitage multifractal d'images
Evelyne Lutton, Mario Pilz, Jacques Lévy Véhel
Les algorithmes évolutionnaires interactifs pâtissent souvent de ce que l'on peut appeler le « goulot d'étranglement de l'utilisateur », autremen...
inria-00070472 | ⬇️ Télécharger
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2004

Communication dans un congrès

Obstacle detection by Evolutionary Algorithm: the Fly Algorithm
Olivier Pauplin, Jean Louchet, Evelyne Lutton, Michel Null Parent
Artificial vision is a key element in robots autonomy. The Fly algorithm is a fast evolutionary algorithm designed for real time obstacle detection us...
inria-00000493
📚 Exporter : BibTeX | EndNote | DC
Applying Evolutionary Optimisation to Robot Obstacle Avoidance
Olivier Pauplin, Jean Louchet, Evelyne Lutton, Michel Null Parent
This paper presents an artificial evolutionbased method for stereo image analysis and its application to real-time obstacle detection and avoidance fo...
inria-00000494 | ⬇️ Télécharger
📚 Exporter : BibTeX | EndNote | DC
Pareto Optimal Sensing Strategies for an Active Vision System
Enrique Dunn, Gustavo Olague, Evelyne Lutton, Marc Schoenauer
We present a multi-objective methodology, based on evolutionary computation, for solving the sensor planning problem for an active vision system. The ...
inria-00000845 | ⬇️ Télécharger
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Proceedings/Recueil des communications

Artificial Evolution
Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton, Marc Schoenauer
This book constitutes the thoroughly refereed post-proceedings of the 6th International Conference on Artificial Evolution, EA 2003, held in Marseille...
inria-00000846
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2002

Article dans une revue

Compact Unstructured Representations for Evolutionary Design
Hatem Hamda, François Jouve, Evelyne Lutton, Marc Schoenauer, Michèle Sebag
This paper proposes a few steps to escape structured extensive representations for objects, in the context of evolutionary Topological Optimum Design ...
inria-00000847 | ⬇️ Télécharger
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Generic algorithms as a tool in the study of aperiodic order, with application to the case of X-ray diffraction spectra of GaAs-AlAs multilayer heterostructures
B. Leblanc, Evelyne Lutton, F. Axel
We present the first application of genetic algorithms to the analysis of data froma an aperiodically ordered system, high resolution X-ray diffractio...
hal-00001589 | ⬇️ Télécharger
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2001

Communication dans un congrès

Evolutionary signal enhancement based on Hölder regularity analysis
Jacques Lévy Véhel, Evelyne Lutton
We present an approach for signal enhancement based on the analysis of the local Hölder regularity. The method does not make explicit assumptions on ...
inria-00581051 | ⬇️ Télécharger
📚 Exporter : BibTeX | EndNote | DC

Rapport

Affectation automatique des relecteurs de la conférence PPSN VI : un exemple d'utilisation du language EASEA
Pierre Collet, Evelyne Lutton, Marc Schoenauer
This paper presents an algorithm which has been used by PPSN VI organisers to allocate papers to reviewers, which is typically a Constraint Satisfacti...
inria-00000850 | ⬇️ Télécharger
📚 Exporter : BibTeX | EndNote | DC
EASEA : un langage de spécification pour les algorithmes évolutionnaires
Pierre Collet, Marc Schoenauer, Evelyne Lutton, Jean Louchet
Evolutionary algorithms are not straightforward to implement and the lack of any specialised language forces users to write their algorithms in C, C++...
inria-00000849 | ⬇️ Télécharger
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2000

Communication dans un congrès

Take it EASEA
Pierre Collet, Evelyne Lutton, Marc Schoenauer, Jean Louchet
Evolutionary algorithms are not straightforward to implement and the lack of any specialised language forces users to reinvent the wheel every time th...
inria-00000875 | ⬇️ Télécharger
📚 Exporter : BibTeX | EndNote | DC
Représentations non structurées en optimisation topologique de formes par algorithmes évolutionnaires
Hatem Hamda, François Jouve, Evelyne Lutton, Marc Schoenauer, Michèle Sebag
Les algorithmes évolutionnaires sont des méthodes d'optimisation stochastiques inspirées -- grossièrement -- de l'évolution naturelle des populat...
inria-00000852 | ⬇️ Télécharger
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Proceedings/Recueil des communications

Artificial Evolution, 4th European Conference, AE '99 Dunkerque, France, November 1999. Selected Papers
Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton, Marc Schoenauer, Edmund Ronald
Evolutionary algorithms (EAs) have been increasingly, and successfully, applied to combinatorial optimization problems. However, EAs are relatively co...
inria-00000883
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Ouvrages

Parallel Problem Solving from Nature PPSN VI
Marc Schoenauer, Kalyanmoy Deb, Günther Rudolph, Xin Yao, Evelyne Lutton, Juan Julian Merelo, Hans-Paul Schwefel

inria-00000876
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Rapport

Polar IFS + Individual Genetic Programming = Efficient IFS Inverse Problem Solving
Pierre Collet, Evelyne Lutton, Frédéric Raynal, Marc Schoenauer
The inverse problem for Iterated Functions Systems (finding an IFS whose attractor is a target 2D shape) with non-affine IFS is a very complex task. S...
inria-00000877 | ⬇️ Télécharger
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Article dans une revue

Polar IFS + Parisian GP = Efficient IFS inverse problem solving
Pierre Collet, Evelyne Lutton, Frédéric Raynal, Marc Schoenauer
The inverse problem for Iterated Functions Systems (finding an IFS whose attractor is a target 2D shape) with non-affine IFS is a very complex task. S...
inria-00000097 | ⬇️ Télécharger
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1999

Communication dans un congrès

Individual GP: an Alternative Viewpoint for the Resolution of Complex Problems
Pierre Collet, Evelyne Lutton, Frédéric Raynal, Marc Schoenauer
An unususal GP implementation is proposed, based on a more "economic" exploitation of the GP algorithm: the "individual" approach, where each individu...
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Manipulation of Non-Linear IFS attractors using Genetic Programming
Frédéric Raynal, Evelyne Lutton, Pierre Collet, Marc Schoenauer
Non-linear Iterated Function Systems (IFSs) are very powerful mathematical objects related to fractal theory, that can be used in order to generate (o...
inria-00000878 | ⬇️ Télécharger
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Ouvrages

Fractals: Theory and Applications in Engineering
F. M. Dekking, Jacques Lévy Véhel, Evelyne Lutton, Claude Tricot
Owing to the rapid emergence and growth of techniques in the engineering application of fractals, it has become necessary to gather the most recent ad...
inria-00578659
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1998

Article dans une revue

Hölder functions and Deception of Genetic Algorithms
Jacques Lévy Véhel, Evelyne Lutton
We present a deception analysis for Hölder functions. Our approach uses a decomposition on the Haar basis, which reflects in a natural way the Hölde...
inria-00592413 | ⬇️ Télécharger
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Ouvrages

Artificial Evolution: Third European Conference, AE'97, Nîmes, France, October 1997. Selected Papers
Jin-Kao Hao, Evelyne Lutton, Edmund Ronald, Marc Schoenauer, Dominique Snyers

inria-00000884
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1997

Ouvrages

Fractals in Engineering: From Theory to Industrial Applications
Jacques Lévy Véhel, Evelyne Lutton, Claude Tricot
Research in Fractal Analysis is expanding into a variety of engineering domains. The strong potential of this field has already been observed in real ...
inria-00593318
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Rapport

Bitwise Regularity Coefficients as a Tool for Deception Analysis of a Genetic Algorithm
Benoît Leblanc, Evelyne Lutton
We present in this paper a theoretical analysis that relates an irregularity measure of a fitness function to the so-called GA-deception. This approac...
inria-00073415 | ⬇️ Télécharger
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1995

Rapport

Some Remarks on the Optimization of Hölder Functions with Genetic Algorithms
Evelyne Lutton, Jacques Lévy Véhel
We investigate the problem of Hölder functions optimization using Genetic Algorithms (GA). We first derive a relation between the Hölder exponent of...
inria-00074060 | ⬇️ Télécharger
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Mixed IFS : Resolution of the Inverse Problem Using Genetic Programming
Evelyne Lutton, Jacques Lévy Véhel, Guillaume Cretin, Philippe Glevarec, Cédric Roll
We address here the resolution of the so-called inverse problem for IFS. This problem has already been widely considered, and some studies have been p...
inria-00074056 | ⬇️ Télécharger
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1994

Article dans une revue

Fractal Modeling of Speech Signals
Jacques Levy Vehel, Daoudi Khalid, Evelyne Lutton

inria-00439194
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1993

Rapport

A Genetic algorithm for the detection of 2D geometric primitives in images
Evelyne Lutton, P. Martinez
We investigate the use of genetic algorithms (GAs) in the framework of image primitives extraction (such as segments, circles, ellipses or quadrilater...
inria-00074562 | ⬇️ Télécharger
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Optimization of fractal : function using genetic algorithms
Jacques Lévy Véhel, Evelyne Lutton
In this work, we investigate the difficult problem of the optimization of fractal functions. We first derive some relations between the local scaling ...
inria-00074733 | ⬇️ Télécharger
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3D model based stereo reconstruction using coupled Markov random fields
Evelyne Lutton
A lot of methods have been proposed in the field of stereo-reconstruction. We address here the problem of model-based tridimensional reconstruction fr...
inria-00074722 | ⬇️ Télécharger
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