CarolaDoerr

CNRS and Sorbonne University, Paris, FranceParis

Pinned Repositories

2019-LO-SelfAdjusting
Repository with data for our GECCO 2019 paper [Doerr, Doerr, Lengler: Self-Adjusting Mutation Rates with Provably Optimal Success Rules]
Language:Mathematica00
LeadingOneDAC
Language:Jupyter Notebook1 2 00
nevergrad
A Python toolbox for performing gradient-free optimization
Language:Python00
nevergrad
A Python toolbox for performing gradient-free optimization
Language:Python3.9k 58 264353
IOHanalyzer
Performance analyzer for Iterative Optimization Heuristics.
Language:R15 8 117
Use-Cases
Collection of works using IOHprofiler
10
1LLGA
Language:Python2 2 11

CarolaDoerr's Repositories

CarolaDoerr/LeadingOneDAC
Language:Jupyter Notebook1 2 00
CarolaDoerr/2019-LO-SelfAdjusting
Repository with data for our GECCO 2019 paper [Doerr, Doerr, Lengler: Self-Adjusting Mutation Rates with Provably Optimal Success Rules]
Language:Mathematica00
CarolaDoerr/nevergrad
A Python toolbox for performing gradient-free optimization
Language:Python00