Konstantinos Varelas

According to our database, Konstantinos Varelas authored at least 8 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

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

PhD thesis, 2021

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

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, Tea Tusar, Anne Auger

Appl. Soft Comput., 2020

Sparse Inverse Covariance Learning for CMA-ES with Graphical Lasso.

Konstantinos Varelas, Anne Auger, Nikolaus Hansen

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

2019

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.

Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2019

Benchmarking multivariate solvers of SciPy on the noiseless testbed.

Konstantinos Varelas, Marie-Ange Dahito

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Benchmarking large scale variants of CMA-ES and L-BFGS-B on the bbob-largescale testbed.

Konstantinos Varelas

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

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

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018