---
res:
  bibo_abstract:
  - 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.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Christian
      foaf_name: Grimme, Christian
      foaf_surname: Grimme
  - foaf_Person:
      foaf_givenName: Pascal
      foaf_name: Kerschke, Pascal
      foaf_surname: Kerschke
  - foaf_Person:
      foaf_givenName: Michael T M
      foaf_name: Emmerich, Michael T M
      foaf_surname: Emmerich
  - foaf_Person:
      foaf_givenName: Mike
      foaf_name: Preuss, Mike
      foaf_surname: Preuss
  - foaf_Person:
      foaf_givenName: André H
      foaf_name: Deutz, André H
      foaf_surname: Deutz
  - foaf_Person:
      foaf_givenName: Heike
      foaf_name: Trautmann, Heike
      foaf_surname: Trautmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=100740
    orcid: 0000-0002-9788-8282
  bibo_doi: 10.1063/1.5090019
  dct_date: 2019^xs_gYear
  dct_language: eng
  dct_publisher: AIP Publishing@
  dct_title: 'Sliding to the Global Optimum: How to Benefit from Non-Global Optima
    in Multimodal Multi-Objective Optimization@'
...