---
_id: '46342'
abstract:
- lang: eng
  text: There is a range of phenomena in continuous, global multi-objective optimization,
    that cannot occur in single-objective optimization. For instance, in some multi-objective
    optimization problems it is possible to follow continuous paths of gradients of
    straightforward weighted scalarization functions, starting from locally efficient
    solutions, in order to reach globally Pareto optimal solutions. This paper seeks
    to better characterize multimodal multi-objective landscapes and to better understand
    the transitions from local optima to global optima in simple, path-oriented search
    procedures.
author:
- first_name: Christian
  full_name: Grimme, Christian
  last_name: Grimme
- first_name: Pascal
  full_name: Kerschke, Pascal
  last_name: Kerschke
- first_name: Michael T M
  full_name: Emmerich, Michael T M
  last_name: Emmerich
- first_name: Mike
  full_name: Preuss, Mike
  last_name: Preuss
- first_name: André H
  full_name: Deutz, André H
  last_name: Deutz
- first_name: Heike
  full_name: Trautmann, Heike
  id: '100740'
  last_name: Trautmann
  orcid: 0000-0002-9788-8282
citation:
  ama: 'Grimme C, Kerschke P, Emmerich MTM, Preuss M, Deutz AH, Trautmann H. Sliding
    to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective
    Optimization. In: <i>AIP Conference Proceedings</i>. AIP Publishing; 2019:020052-1-020052-020054.
    doi:<a href="https://doi.org/10.1063/1.5090019">10.1063/1.5090019</a>'
  apa: 'Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., &#38;
    Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global
    Optima in Multimodal Multi-Objective Optimization. <i>AIP Conference Proceedings</i>,
    020052-1-020052–020054. <a href="https://doi.org/10.1063/1.5090019">https://doi.org/10.1063/1.5090019</a>'
  bibtex: '@inproceedings{Grimme_Kerschke_Emmerich_Preuss_Deutz_Trautmann_2019, place={Leiden,
    The Netherlands}, title={Sliding to the Global Optimum: How to Benefit from Non-Global
    Optima in Multimodal Multi-Objective Optimization}, DOI={<a href="https://doi.org/10.1063/1.5090019">10.1063/1.5090019</a>},
    booktitle={AIP Conference Proceedings}, publisher={AIP Publishing}, author={Grimme,
    Christian and Kerschke, Pascal and Emmerich, Michael T M and Preuss, Mike and
    Deutz, André H and Trautmann, Heike}, year={2019}, pages={020052-1-020052–4} }'
  chicago: 'Grimme, Christian, Pascal Kerschke, Michael T M Emmerich, Mike Preuss,
    André H Deutz, and Heike Trautmann. “Sliding to the Global Optimum: How to Benefit
    from Non-Global Optima in Multimodal Multi-Objective Optimization.” In <i>AIP
    Conference Proceedings</i>, 020052-1-020052–54. Leiden, The Netherlands: AIP Publishing,
    2019. <a href="https://doi.org/10.1063/1.5090019">https://doi.org/10.1063/1.5090019</a>.'
  ieee: 'C. Grimme, P. Kerschke, M. T. M. Emmerich, M. Preuss, A. H. Deutz, and H.
    Trautmann, “Sliding to the Global Optimum: How to Benefit from Non-Global Optima
    in Multimodal Multi-Objective Optimization,” in <i>AIP Conference Proceedings</i>,
    2019, pp. 020052-1-020052–4, doi: <a href="https://doi.org/10.1063/1.5090019">10.1063/1.5090019</a>.'
  mla: 'Grimme, Christian, et al. “Sliding to the Global Optimum: How to Benefit from
    Non-Global Optima in Multimodal Multi-Objective Optimization.” <i>AIP Conference
    Proceedings</i>, AIP Publishing, 2019, pp. 020052-1-020052–54, doi:<a href="https://doi.org/10.1063/1.5090019">10.1063/1.5090019</a>.'
  short: 'C. Grimme, P. Kerschke, M.T.M. Emmerich, M. Preuss, A.H. Deutz, H. Trautmann,
    in: AIP Conference Proceedings, AIP Publishing, Leiden, The Netherlands, 2019,
    pp. 020052-1-020052–4.'
date_created: 2023-08-04T07:48:15Z
date_updated: 2023-10-16T13:30:43Z
department:
- _id: '34'
- _id: '819'
doi: 10.1063/1.5090019
language:
- iso: eng
page: 020052-1-020052-4
place: Leiden, The Netherlands
publication: AIP Conference Proceedings
publisher: AIP Publishing
status: public
title: 'Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal
  Multi-Objective Optimization'
type: conference
user_id: '15504'
year: '2019'
...