Dealing with Epistemic Uncertainty in ...
Document type :
Communication dans un congrès avec actes
Title :
Dealing with Epistemic Uncertainty in Multi-objective Optimization: A Survey
Author(s) :
Bahri, Oumayma [Auteur]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Talbi, El-Ghazali [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Talbi, El-Ghazali [Auteur]
Optimisation de grande taille et calcul large échelle [BONUS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Conference title :
IPMU 2018 - 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
City :
Cadiz
Country :
Espagne
Start date of the conference :
2018-06-11
Publication date :
2018-05-18
English keyword(s) :
Multi-objective optimization
Epistemic uncertainty
Uncertain-valued objectives
Pareto optimality
Epistemic uncertainty
Uncertain-valued objectives
Pareto optimality
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :