A Comparative Study of Large-Scale Variants of CMA-ES. - Konstantinos Varelas; Anne Auger; Dimo Brockhoff; Nikolaus Hansen; Ouassim Ait ElHara; Yann Semet; Rami Kassab; Frédéric Barbaresco (PPSN (1), 2018)

Benchmarking large scale variants of CMA-ES and L-BFGS-B on the bbob-largescale testbed. - Konstantinos Varelas (GECCO (Companion), 2019)

Benchmarking multivariate solvers of SciPy on the noiseless testbed. - Konstantinos Varelas; Marie-Ange Dahito (GECCO (Companion), 2019)

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. - Ouassim Ait ElHara; Konstantinos Varelas; Duc Manh Nguyen 001; Tea Tusar; Dimo Brockhoff; Nikolaus Hansen; Anne Auger (CoRR, 2019)

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso. - Konstantinos Varelas; Anne Auger; Nikolaus Hansen (PPSN (1), 2020)

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. - Konstantinos Varelas; Ouassim Ait ElHara; Dimo Brockhoff; Nikolaus Hansen; Duc Manh Nguyen 001; Tea Tusar; Anne Auger (Appl. Soft Comput., 2020)

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity. - Mathieu Klein; Thomas Carpentier; Eric Jeanclaude; Rami Kassab; Konstantinos Varelas; Nico de Bruijn; Frédéric Barbaresco; Yann Briheche; Yann Semet; Florence Aligne (CoRR, 2020)

Randomized Derivative Free Optimization via CMA-ES and Sparse Techniques - Applications to Radars. (Optimisation sans dérivées stochastique via CMA-ES et Techniques Sparses - Applications Radars). - Konstantinos Varelas (2021)