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Evelyne Lutton
22
Documents
Présentation
Since February 2013, I am senior scientist (Directeur de Recherche) at [INRAE (MATHNUM department)](http://www.inra.fr/mia/) now in the [EKINOCS](https://www6.inrae.fr/mia-paris/Equipes/EkINocs) research team of the [UMR MIA 518](https://www6.inrae.fr/mia-paris). We are resident at the [ISC-PIF, the french institute for complex systems](https://iscpif.fr/). Before that, I was researcher at INRIA (1991-2013) where I was successively scientific manager of the [FRACTALES, COMPLEX and APIS ](http://evelyne.lutton.free.fr/FractalesComplexApis.html)research teams, and finally member of the [AVIZ ](http://www.aviz.fr/)team (2009-2013).
My current scientific research concern: Interactive Modelling, Interactive evolution, Cooperation-coevolution, Collective Artificial Intelligence.
with applications in agrifood and biological (human digestion) process modeling.
I also chair the steering committe of the [EA](http://ea.inria.fr/) association, and was chair of the [WIE-France affinity group](http://www.irit.fr/IEEE-WIE-FR/) (till 2012, see [WIE-France upcoming events](http://evelyne.lutton.free.fr/WIE-France-News.html)). I am IEEE senior member since 2012, and was scientific advisor of a small company, [Cetoine](http://evelyne.lutton.free.fr/Presentation-Cetoine-Avril2013.pdf) (an INRIA start-up, 2006-2015).
See my short Bio [here](http://evelyne.lutton.free.fr/ShortBio.html), and my google scholars profile [here](http://scholar.google.com/citations?user=Bc20yLMAAAAJ).
Publications
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Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertiseMathematical Biosciences and Engineering, 2023, 20 (12), pp.20528-20552. ⟨10.3934/mbe.2023908⟩
Article dans une revue
hal-04336187v1
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Multi-Criteria Reverse Engineering for Food: Genesis and Ongoing AdvancesFood Engineering Reviews, 2019, 11 (1), pp.44-60. ⟨10.1007/s12393-018-9186-x⟩
Article dans une revue
hal-01993348v1
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Multiscale modeling for bioresources and bioproductsInnovative Food Science & Emerging Technologies / Innovative Food Science and Emerging Technologies , 2018, 46, pp.41-53. ⟨10.1016/j.ifset.2017.09.015⟩
Article dans une revue
hal-01607608v1
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A benchmark for cooperative coevolutionMemetic Computing, 2012, 4 (4), pp.263-277. ⟨10.1007/s12293-012-0095-x⟩
Article dans une revue
hal-00758187v1
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Towards Evolutionary Control Laws for Viability ProblemsGECCO '23: Genetic and Evolutionary Computation Conference, Jul 2023, Lisbon Portugal, France. pp.1464-1472, ⟨10.1145/3583131.3590415⟩
Communication dans un congrès
hal-04230169v1
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Fine-Grained Cooperative Coevolution in a Single Population: Between Evolution and Swarm IntelligenceArtificial Evolution, Oct 2022, Exeter (England), United Kingdom. ⟨10.1007/978-3-031-42616-2_8⟩
Communication dans un congrès
hal-04245024v1
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Agent-based modelling of enzymatic digestion using experimental dataFRCCS 2022 - French Regional Conference on Complex Systems, CNRS; Laboratoire de Physique Théorique et Modélisation (CERGY), Jun 2022, Paris, France
Communication dans un congrès
hal-03818238v1
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Modélisation interactive en agro-alimentaire: l’outilLiDeoGraMJournée Visu 2019, May 2019, Paris, France. pp.3
Communication dans un congrès
hal-02737033v1
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A semi-automatic modelling approach for the production and freeze drying of lactic acid bacteria10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium
Communication dans un congrès
hal-02266291v1
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LIDeOGraM: an interactive evolutionary modelling tool13. Biennial International Conference on Artificial Evolution (EA), 2018, CHAM, Switzerland. pp.13, ⟨10.1007/978-3-319-78133-4_14⟩
Communication dans un congrès
hal-02736924v1
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Human in the loop for modelling food and biological systems: a novel perspective coupling artificial intelligence and life science10. International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2018. Eurosis, 2018., Apr 2018, Ghent, Belgium. pp.8
Communication dans un congrès
hal-02192521v1
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LIDeOGraM : an interactive evolutionary modelling toolBiennial International Conference on Artificial Evolution (EA-2017), 2017, Paris, France
Communication dans un congrès
hal-01607681v1
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Interactive knowledge integration in modelling for food sustainability : challenges and prospectsACM CHI Workshop on Designing Sustainable Food Systems, 2017, NA, France
Communication dans un congrès
hal-01604947v1
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Interactive evolutionary modelling of living complex food systemsGenetic and Evolutionary Computation Conference GECCO' 17, Jul 2017, Berlin, Germany. ⟨10.1145/3067695.3075992⟩
Communication dans un congrès
hal-01607872v1
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Bayesian Network Structure Learning from Limited Datasets through Graph EvolutionEuroGP 2012 - 15th European Conference on Genetic Programming, Apr 2012, Malaga, Spain. pp.254-265, ⟨10.1007/978-3-642-29139-5_22⟩
Communication dans un congrès
hal-00757529v1
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Lamps : A test problem for cooperative coevolutionNICSO 2011, the 5th International Workshop on Nature Inspired Cooperative Strategies for Optimization, Oct 2011, Cluj Napoca, Romania
Communication dans un congrès
hal-00642304v1
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Evaluation of information processing capacity of bacterial metabolism through regression problem solvingBioSynSys 2023 - Symposium on Synthetic and Systems Biology, Jul 2023, Toulouse, France
Poster de conférence
hal-04287846v1
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Solving regression problems using bacterial metabolismPoster de conférence hal-04312498v1 |
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Neural-like computation using bacterial metabolism to solve machine-learning problemsDIM BioConvS - Innovation Day, Nov 2023, St-Ouen, France
Poster de conférence
hal-04312782v1
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Evolutionary algorithms for food science and technologyJohn Wiley, 182 p., 2016, Genetic Programming and Evolvable Machines, 978-1-848-21813-0
Ouvrages
hal-02266288v1
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Interactive machine learning for applications in food ScienceHuman and Machine Learning, SPRINGER, pp.19, 2018, Human-Computer Interaction Series, 978-3-319-90403-0; 978-3-319-90402-3. ⟨10.1007/978-3-319-90403-0_22⟩
Chapitre d'ouvrage
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