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Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey

Authors :
El-Ghazali Talbi
Oumayma Bahri
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus (LARODEC)
Université de Tunis-ISG de Tunis
Laboratoire d'Informatique Fondamentale de Lille (LIFL)
Université de Lille, Sciences et Technologies-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lille, Sciences Humaines et Sociales-Centre National de la Recherche Scientifique (CNRS)
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Optimisation de grande taille et calcul large échelle (BONUS)
Inria Lille - Nord Europe
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL)
Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
Source :
IPMU 2018-17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018-17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2018, Cadiz, Spain. pp.260-271, Communications in Computer and Information Science ISBN: 9783319914787, IPMU (3)
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; Multi-objective optimization under epistemic uncertainty is today present as an active research area reflecting reality of many practical applications. In this paper, we try to present and discuss relevant state-of-the-art related to multi-objective optimisation with uncertain-valued objective. In fact, we give an overview of approaches that have already been proposed in this context and limitations of each one of them. We also present recent researches developed for taking into account uncertainty in the Pareto optimality aspect.

Details

Language :
English
ISBN :
978-3-319-91478-7
ISBNs :
9783319914787
Database :
OpenAIRE
Journal :
IPMU 2018-17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2018-17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2018, Cadiz, Spain. pp.260-271, Communications in Computer and Information Science ISBN: 9783319914787, IPMU (3)
Accession number :
edsair.doi.dedup.....26574cd05a6c9859ffa4fdd26f0217fe