17 citations · 27 across the 5 of their papers we have counts for
8 papers
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: Performance Assessment
Nikolaus Hansen, Anne Auger, Dimo Brockhoff +2
We present an any-time performance assessment for benchmarking numerical optimization algorithms in a black-box scenario, applied within the COCO benchmarking platform. The perform…
Biobjective Performance Assessment with the COCO Platform
Dimo Brockhoff, Tea Tušar, Dejan Tušar +3
This document details the rationales behind assessing the performance of numerical black-box optimizers on multi-objective problems within the COCO platform and in particular on th…
COCO: The Experimental Procedure
Nikolaus Hansen, Tea Tusar, Olaf Mersmann +2
We present a budget-free experimental setup and procedure for benchmarking numericaloptimization algorithms in a black-box scenario. This procedure can be applied with the COCO ben…
Cumulative Step-size Adaptation on Linear Functions
Alexandre Chotard, Anne Auger, Nikolaus Hansen
The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is…
Well Placement Optimization under Uncertainty with CMA-ES Using the Neighborhood
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
In the well placement problem, as well as in other field development optimization problems, geological uncertainty is a key source of risk affecting the viability of field developm…