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1 - 2

A Median Success Rule for Non-Elitist Evolution Strategies : Study of Feasibility Ait Elhara O. et al Genetic and Evolutionary Computation Conference, Pays-Bas (2013) [hal-00801414 - version 1]

Convergence of the Continuous Time Trajectories of Isotropic Evolution Strategies on Monotonic C^2-composite Functions Akimoto Y. et al PPSN - 12th International Conference on Parallel Problem Solving from Nature - 2012, Italie (2012) [hal-00710214 - version 1]

Information-Geometric Optimization Algorithms: A Unifying Picture via Invariance Principles Arnold L. et al [hal-00601503 - version 1] (17/06/2011)

Log-linear Convergence of the Scale-invariant $(\mu/\mu_w,\lambda)$-(ES) and Optimal mu for Intermediate Recombination for Large Population Sizes Jebalia M. et al Rapport de recherche (2010) [inria-00495401 - version 1]

Learning Multiple Belief Propagation Fixed Points for Real Time Inference Furtlehner C. et al Physica A, 389 (2010) 149-163 [inria-00371372 - version 2]

Log-linear Convergence of the Scale-invariant $(\mu/\mu_w,\lambda)$-(ES) and Optimal $\mu$ for Intermediate Recombination for Large Population Sizes Jebalia M. et al Dans Proceedings of Parallel Problem Solving From Nature - PPSN XI - Parallel Problem Solving From Nature (PPSN2010), Pologne (2010) [inria-00494478 - version 1]

Log linear convergence and divergence of the scale-invariant (1+1)-ES in noisy environments Jebalia M. et al Algorithmica (2010) [inria-00433347 - version 1]

Investigating and Exploiting the Bias of the Weighted Hypervolume to Articulate User Preferences Auger A. et al Dans Genetic and Evolutionary Computation Conference (GECCO 2009) - Genetic and Evolutionary Computation Conference (GECCO 2009), Canada (2009) [hal-00431274 - version 1]

Articulating User Preferences in Many-Objective Problems by Sampling the Weighted Hypervolume Auger A. et al Dans Genetic and Evolutionary Computation Conference (GECCO 2009) - Genetic and Evolutionary Computation Conference (GECCO 2009), Canada (2009) [hal-00431271 - version 1]

Continuous lunches are free plus the design of optimal optimization algorithms Auger A. et al Algorithmica (2009) [inria-00369788 - version 1]

On multiplicative noise models for stochastic search Jebalia M. et al Parallel Problem Solving From Nature, Allemagne (2008) [inria-00287725 - version 1]

Identification of the Isotherm Function in Chromatography Using CMA-ES Jebalia M. et al IEEE Congress on Evolutionary Computation, Singapour (2007) [inria-00175852 - version 1]

Continuous lunches are free! Auger A. et al GECCO, Royaume-Uni (2007) [inria-00173209 - version 1]

On the adaptation of the noise level for stochastic optimization Teytaud O. et al IEEE Congress on Evolutionary Computation, Singapour (2007) [inria-00173224 - version 1]

Algorithms (X,sigma,eta) : quasi-random mutations for Evolution Strategies Teytaud O. et al Evolution Artificielle, France (2005) [inria-00000544 - version 2]