Jakob Bossek

mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

Bernd Bischl, Jakob Richter, Jakob Bossek et al. · arXiv (Cornell University) · 2017 · 134 citations · Full text

Artificial Intelligence, Large-scale Global Optimization, Engineering +22

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem

Olaf Mersmann, Bernd Bischl, Heike Trautmann et al. · Annals of Mathematics and Artificial Intelligence · 2013 · 94 citations

Engineering, Data Science, Data Mining +10

Leveraging TSP Solver Complementarity through Machine Learning

Pascal Kerschke, Lars Kotthoff, Jakob Bossek et al. · Evolutionary Computation · 2017 · 90 citations · Full text

smoof: Single- and Multi-Objective Optimization Test Functions

Jakob Bossek · The R Journal · 2017 · 62 citations · Full text

Evolving diverse TSP instances by means of novel and creative mutation operators

Jakob Bossek, Pascal Kerschke, Aneta Neumann et al. · 2019 · 51 citations

Artificial Intelligence, Engineering, Computational Complexity +18