1.8k citations · 2.6k across the 30 of their papers we have counts for
3 papers · 2 filters
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites
Dimo Brockhoff, Tea Tusar, Anne Auger +1
Several test function suites are being used for numerical benchmarking of multiobjective optimization algorithms. While they have some desirable properties, like well-understood Pa…
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Nikolaus Hansen, Anne Auger, Raymond Ros +3
We introduce COCO, an open source platform for Comparing Continuous Optimizers in a black-box setting. COCO aims at automatizing the tedious and repetitive task of benchmarking num…
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…