---
res:
  bibo_abstract:
  - Optimizing large-scale multibody systems is a challenging task, particularly in
    the presence of multiple conflicting criteria. To prevent high simulation costs,
    surrogate models constructed from a small number of expensive model evaluations
    are very popular. However, it is difficult to ensure the optimality of the obtained
    solutions using a single pre-computed model. We present a back-and-forth approach
    between surrogate modeling and multi-objective optimization, and we compare different
    strategies for optimization, sampling, and surrogate modeling, to identify the
    most promising approach in terms of computational efficiency and solution quality.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Augustina Chidinma
      foaf_name: Amakor, Augustina Chidinma
      foaf_surname: Amakor
      foaf_workInfoHomepage: http://www.librecat.org/personId=97916
  - foaf_Person:
      foaf_givenName: Manuel B.
      foaf_name: Berkemeier, Manuel B.
      foaf_surname: Berkemeier
  - foaf_Person:
      foaf_givenName: Meike Claudia
      foaf_name: Wohlleben, Meike Claudia
      foaf_surname: Wohlleben
      foaf_workInfoHomepage: http://www.librecat.org/personId=43991
    orcid: 0009-0009-9767-7168
  - foaf_Person:
      foaf_givenName: Walter
      foaf_name: Sextro, Walter
      foaf_surname: Sextro
      foaf_workInfoHomepage: http://www.librecat.org/personId=21220
  - foaf_Person:
      foaf_givenName: Sebastian
      foaf_name: Peitz, Sebastian
      foaf_surname: Peitz
      foaf_workInfoHomepage: http://www.librecat.org/personId=47427
    orcid: 0000-0002-3389-793X
  bibo_doi: 10.1007/978-3-032-04555-3_21
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/978-3-032-04555-3
  dct_language: eng
  dct_publisher: Springer Nature Switzerland@
  dct_subject:
  - own
  - own-conference
  dct_title: Surrogate-Assisted Multi-objective Design of Complex Multibody Systems@
...