Box-Type Boom Design using Surrogate Modeling: Introducing an Industrial Optimization Benchmark

Philipp Fleck, Doris Entner, Clemens Müntzer, Michael Kommenda, Thorsten Prante, Martin Schwarz, Martin Hächl, Michael Affenzeller

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Simulation-based optimization problems are often an inherent part in engineering design tasks. This paper introduces one such use case, the design of a box-type boom of a crane, which requires a time consuming structural analysis for validation. To overcome high runtimes for optimization approaches with numerous calls to the structural analysis tool, we here present several ways of approximating the structural analysis results using surrogate models. Results show a strong correlation between certain statics input and output parameters, and that various surrogate modeling approaches yield similar results in terms of accuracy and impact of the predictors on the output. The box-type boom use case together with the surrogate models shall serve as an industrial optimization benchmark for comparing various algorithms on this simulation-based optimization problem
Original languageEnglish
Title of host publicationEUROGEN 2017, Madrid, Spanien, 2017
Number of pages15
Publication statusPublished - 2017

Fields of science

  • 102 Computer Sciences
  • 102001 Artificial intelligence
  • 102011 Formal languages
  • 102022 Software development
  • 102031 Theoretical computer science
  • 603109 Logic
  • 202006 Computer hardware

JKU Focus areas

  • Computation in Informatics and Mathematics

Cite this