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8 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Cooperative Co-evolution and Adaptive Team Composition for a Multi-rover Resource Allocation Problem

    In this paper, we are interested in ad hoc autonomous agent team composition using cooperative co-evolutionary algorithms (CCEA). In order to accurately capture the individual contribution of team agents, we p...

    Nicolas Fontbonne, Nicolas Maudet, Nicolas Bredeche in Genetic Programming (2022)

  2. No Access

    Chapter and Conference Paper

    Evolutionary Optimisation of Neural Network Models for Fish Collective Behaviours in Mixed Groups of Robots and Zebrafish

    Animal and robot social interactions are interesting both for ethological studies and robotics. On the one hand, the robots can be tools and models to analyse animal collective behaviours, on the other hand th...

    Leo Cazenille, Nicolas Bredeche, José Halloy in Biomimetic and Biohybrid Systems (2018)

  3. No Access

    Chapter and Conference Paper

    How to Blend a Robot Within a Group of Zebrafish: Achieving Social Acceptance Through Real-Time Calibration of a Multi-level Behavioural Model

    We have previously shown how to socially integrate a fish robot into a group of zebrafish thanks to biomimetic behavioural models. The models have to be calibrated on experimental data to present correct behav...

    Leo Cazenille, Yohann Chemtob, Frank Bonnet… in Biomimetic and Biohybrid Systems (2018)

  4. No Access

    Chapter and Conference Paper

    Tutorials at PPSN 2016

    PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended ...

    Carola Doerr, Nicolas Bredeche, Enrique Alba… in Parallel Problem Solving from Nature – PPS… (2016)

  5. No Access

    Chapter and Conference Paper

    Environment-Driven Embodied Evolution in a Population of Autonomous Agents

    This paper is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algorithm that can cope with the ...

    Nicolas Bredeche, Jean-Marc Montanier in Parallel Problem Solving from Nature, PPSN XI (2010)

  6. No Access

    Chapter and Conference Paper

    A Statistical Learning Perspective of Genetic Programming

    This paper proposes a theoretical analysis of Genetic Programming (GP) from the perspective of statistical learning theory, a well grounded mathematical toolbox for machine learning. By computing the Vapnik-Ch...

    Nur Merve Amil, Nicolas Bredeche, Christian Gagné, Sylvain Gelly… in Genetic Programming (2009)

  7. No Access

    Chapter and Conference Paper

    Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny

    Echo State Networks (ESN) have demonstrated their efficiency in supervised learning of time series: a ”reservoir” of neurons provide a set of dynamical systems that can be linearly combined to match the target...

    Alexandre Devert, Nicolas Bredeche, Marc Schoenauer in Artificial Evolution (2008)

  8. No Access

    Chapter and Conference Paper

    Blindbuilder: A New Encoding to Evolve Lego-Like Structures

    This paper introduces a new representation for assemblies of small Lego®-like elements: structures are indirectly encoded as construction plans. This representation shows some interesting properties such as hiera...

    Alexandre Devert, Nicolas Bredeche, Marc Schoenauer in Genetic Programming (2006)