Version 0.0.1 published on GitHub The notebooks in the GitHub repository https://github.com/sn-code-inside/online-machine-learning are part of the supplementary material of the … More
Category: Open Science
More than 10 000 Accesses: “Hyperparameter Tuning for Machine and Deep Learning” Book
This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice … More
Open Access Book “Hyperparameter Tuning for Machine and Deep Learning with R” is finally published
The book “Hyperparameter Tuning for Machine and Deep Learning with R – A Practical Guide” is finally published. The content is … More
Open Access Article “Elevator group control as a constrained multiobjective optimization problem”
Authors: Aljoša Vodopija, Jörg Stork, Thomas Bartz-Beielstein, Bogdan Filipič Applied Soft Computing, Volume 115, 2022, https://doi.org/10.1016/j.asoc.2021.108277. Abstract Abstract: Modern elevator … More
Students from IDE+A (TH Köln) Participating at GECCO 2021
This year the IDE+A team was very active at Genetic and Evolutionary Computation Conference (GECCO). GECCO: high-quality results in genetic … More
Recommended Reading: Reproducibility in Evolutionary Computation by Manuel López-Ibáñez, Juergen Branke, and Luís Paquete
To overcome the reproducibility crisis we need a culture shift towards reproducibility in EC, with reproducibility playing a bigger role … More
New on arXiv: Resource Planning for Hospitals Under Special Consideration COVID19
The paper “Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis”, which was written … More
babsim.hospital_11.7.12 is on CRAN
The R package babsim.hospital_11.7.12.tar.gz has been built and will be published in the corresponding CRAN directory: https://cran.r-project.org/package=babsim.hospital.
Free Paper: In a Nutshell – Sequential Parameter #Optimization @utopia_network #TH_Koeln #rstats
We proudly present the first result of our cooperation in the UTOPIAE network:Lorenzo Gentile, Martin Zaefferer, and Thomas Bartz-Beielstein published … More
@TH_Koeln Interview: M. Friese und T. Bartz-Beielstein zur #GECCO2017 Challenge
Die TH Köln hat auf ihrer Web-Seite ein Interview mit Martina Friese und Prof. Bartz-Beielstein zur diesjährigen GECCO Challenge veröffentlicht. … More