9 papers
Multi-Task Optimization over Networks of Tasks
Julian Hatzky, Thomas Bartz-Beielstein, A. E. Eiben +1
Multi-task optimization is a powerful approach for solving a large number of tasks in parallel. However, existing algorithms face distinct limitations: Population-based methods sca…
MuViS: Multimodal Virtual Sensing Benchmark
Jens U. Brandt, Noah C. Puetz, Jobel Jose George +5
Virtual sensing aims to infer hard-to-measure quantities from accessible measurements and is central to perception and control in physical systems. Despite rapid progress from firs…
LLMs taking shortcuts in test generation: A study with SAP HANA and LevelDB
Vekil Bekmyradov, Noah C. Pütz, Thomas Bartz-Beielstein
Large Language Models (LLMs) have achieved impressive results on public benchmarks, often leading to claims of advanced reasoning and understanding. However, recent research in cog…
Optimization with SpotOptim
Thomas Bartz-Beielstein
The spotoptim package implements surrogate-model-based optimization of expensive black-box functions in Python. Building on two decades of Sequential Parameter Optimization (SPO) m…
Physics-based Approximation and Prediction of Speedlines in Compressor Performance Maps
Abdul-Malik Akiev, Danyal Ergür, Alexander Schirger +3
Speedlines in compressor performance maps (CPMs) are critical for understanding and predicting compressor behavior under various operating conditions. We investigate a physics-base…
Multi-Objective Optimization with Desirability and Morris-Mitchell Criterion
Thomas Bartz-Beielstein, Eva Bartz, Alexander Hinterleitner +2
Industrial experimental designs frequently lack optimal space-filling properties, rendering them unrepresentative. This study presents a comprehensive methodology to refine existin…