A sampling-based optimization algorithm for solution spaces with pair-wise-coupled design variables

Helmut Harbrecht, Dennis Tröndle, Markus Zimmermann

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Solution spaces are sets of good designs that satisfy all design goals. They serve as target regions for robust and independent component development in a distributed design process. So-called solution boxes provide best decoupling; however, they are often small and therefore impractical. This article proposes an algorithm that computes two-dimensional permissible regions for pairs of design variables that are substantially larger than solution boxes. This is accomplished by modifying the existing sampling-based optimization algorithm for boxes and extending it by box-rotation.

Original languageEnglish
Pages (from-to)501-512
Number of pages12
JournalStructural and Multidisciplinary Optimization
Volume60
Issue number2
DOIs
StatePublished - 15 Aug 2019
Externally publishedYes

Keywords

  • Black-box optimization
  • Sampling-based optimization algorithm
  • Solution spaces

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