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Efficient computation of the search region in multi-objective optimization

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Date
2017
Dewey
Recherche opérationnelle
Sujet
Multi-objective optimization; Nondominated set; Search region; Local upper bounds; Scalarization
Journal issue
European Journal of Operational Research
Volume
260
Number
3
Publication date
2017
Article pages
841-855
DOI
http://dx.doi.org/10.1016/j.ejor.2016.05.029
URI
https://basepub.dauphine.fr/handle/123456789/16255
Collections
  • LAMSADE : Publications
Metadata
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Author
Dächert, Kerstin
115536 autre
Klamroth, Kathrin
115536 autre
Lacour, Renaud
115536 autre
Vanderpooten, Daniel
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Type
Article accepté pour publication ou publié
Abstract (EN)
Multi-objective optimization procedures usually proceed by iteratively producing new solutions. For this purpose, a key issue is to determine and efficiently update the search region, which corresponds to the part of the objective space where new nondominated points could lie. In this paper we elaborate a specific neighborhood structure among local upper bounds. Thanks to this structure, the update of the search region with respect to a new point can be performed more efficiently compared to existing approaches. Moreover, the neighborhood structure provides new insight into the search region and the location of nondominated points.

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