Authors. Mohamed El Yafrani, Marcella Scoczynski, Inkyung Sung, Markus Wagner, Carola Doerr, Peter Nielsen Abstract. In this paper, we introduce a … More
Category: Publications
New Book: Black Box Optimization, Machine Learning, and No-Free Lunch Theorems
Finally, with some delay, the book “Black Box Optimization, Machine Learning, and No-Free Lunch Theorems” is available. The book was … More
New Article: Treasure Hunt Framework- Distributing Metaheuristics on High Performance Computing Systems
Abstract. This work proposes a multilevel framework called Treasure Hunt, which is capable of distributing independent search algorithms to a … More
ACM TELO (Transactions on Evolutionary Learning and Optimization): Free Inaugural Issue Editorial
About TELO. The ACM Transactions on Evolutionary Learning and Optimization will publish high quality original papers in all areas of evolutionary computation … More
“Behavior-based Neuroevolutionary Training in Reinforcement Learning” Available on arXiv
Authors. Stork, J., Zaefferer, M., Eisler, N., Tichelmann, P., Bartz-Beielstein, T., and Eiben, A. E Abstract. In addition to their … More
Tuning algorithms for black-box optimization: State of the art and future perspectives will be available in May 2021
The publication “Tuning algorithms for black-box optimization: State of the art and future perspectives” by Thomas Bartz-Beielstein, Frederik Rehbach, and … More
“Sequential Parameter Optimization for Mixed-Discrete Problems” Published in the Book “Optimization Under Uncertainty with Applications to Aerospace Engineering”
The book Optimization Under Uncertainty with Applications to Aerospace Engineering has recently been published in electronic and print format. It includes our contribution … More
Free Preprint: “Expected Improvement versus Predicted Value in Surrogate-Based #Optimization” Available on Cologne Open Science
The publication “Expected Improvement versus Predicted Value in Surrogate-Based Optimization”, written by Frederik Rehbach, Martin Zaefferer, Boris Naujoks, and Thomas … More
IDE+A Vortrag zu ‘Time Series Missing Data Visualization’ auf useR! Conference 2020
Unter normalen Umständen hätte die useR! Conference, die weltgrößte Konferenz für die Anwender der Statistiksprache R, dieses Jahr zum ersten … More
Benchmarking in Optimization: Best Practice and Open Issues
Information zum OPUS4-Dokumentenserver: Folgendes Dokument wurde auf dem OPUS4-Dokumentenserver freigegeben: Benchmarking in Optimization: Best Practice and Open Issues. https://cos.bibl.th-koeln.de/frontdoor/index/index/docId/902