406 citations · 506 across the 8 of their papers we have counts for
10 papers
Pareto Set Characterization in Constrained Multiobjective Optimization and the COBI Problem Generator *
Anne Auger, Dimo Brockhoff, Luka Opravš +1
Benchmark problems play a central role in assessing the performance of numerical optimization algorithms. However, many existing constrained multiobjective optimization benchmark p…
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…
On Bi-Objective convex-quadratic problems
Cheikh Toure, Anne Auger, Dimo Brockhoff +1
In this paper we analyze theoretical properties of bi-objective convex-quadratic problems. We give a complete description of their Pareto set and prove the convexity of their Paret…
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…