1.8k citations · 3.2k across the 23 of their papers we have counts for
25 papers
Asymptotic estimations of a perturbed symmetric eigenproblem
Armand Gissler, Anne Auger, Nikolaus Hansen
We study ill-conditioned positive definite matrices that are disturbed by the sum of rank-one matrices of a specific form. We provide estimates for the eigenvalues and eigenvec…
Global linear convergence of Evolution Strategies with recombination on scaling-invariant functions
Cheikh Touré, Anne Auger, Nikolaus Hansen
Evolution Strategies (ES) are stochastic derivative-free optimization algorithms whose most prominent representative, the CMA-ES algorithm, is widely used to solve difficult numeri…
Scaling-invariant functions versus positively homogeneous functions
Cheikh Touré, Armand Gissler, Anne Auger +1
Scaling-invariant functions preserve the order of points when the points are scaled by the same positive scalar (with respect to a unique reference point). Composites of strictly m…
Diagonal Acceleration for Covariance Matrix Adaptation Evolution Strategies
Youhei Akimoto, Nikolaus Hansen
We introduce an acceleration for covariance matrix adaptation evolution strategies (CMA-ES) by means of adaptive diagonal decoding (dd-CMA). This diagonal acceleration endows the d…
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework
Cheikh Touré, Nikolaus Hansen, Anne Auger +1
We present a framework to build a multiobjective algorithm from single-objective ones. This framework addresses the -dimensional problem of finding p solutions in an n-…
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite
Ouassim Elhara, Konstantinos Varelas, Duc Nguyen +4
The bbob-largescale test suite, containing 24 single-objective functions in continuous domain, extends the well-known single-objective noiseless bbob test suite, which has been use…