Titre :

Directed Multiobjective Optimization Based on the Weighted Hypervolume Indicator

Auteur(s) :

Brockhoff, Dimo [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Bader, Johannes [Auteur]
Computer Engineering and Networks Laboratory [TIK]
Thiele, Lothar [Auteur]
Electrical Engineering Institute - EPFL
Zitzler, Eckart [Auteur]
University of Teacher Education [PHBern]

Titre de la revue :

Journal of Multi-Criteria Decision Analysis
Special Issue: Evolutionary Multiobjective Optimization: Methodologies and Applications

Pagination :

291-317

Éditeur :

Wiley

Date de publication :

2013-11-04

ISSN :

1057-9214

Mot(s)-clé(s) en anglais :

multiobjective optimization
evolutionary algorithm
hypervolume
preference-based search

Discipline(s) HAL :

Informatique [cs]/Réseau de neurones [cs.NE]

Résumé en anglais : [en]

Recently, there has been a large interest in set-based evolutionary algorithms for multiobjective optimization. They are based on the definition of indicators that characterize the quality of the current population while ...
Lire la suite >Recently, there has been a large interest in set-based evolutionary algorithms for multiobjective optimization. They are based on the definition of indicators that characterize the quality of the current population while being compliant with the concept of Pareto-optimality. It has been shown that the hypervolume indicator, which measures the dominated volume in the objective space, enables the design of efficient search algorithms and, at the same time, opens up opportunities to express user preferences in the search by means of weight functions. The present paper contains the necessary theoretical foundations and corresponding algorithms to (i) select appropriate weight functions, to (ii) transform user preferences into weight functions and to (iii) efficiently evaluate the weighted hypervolume indicator through Monte Carlo sampling. The algorithm W-HypE, which implements the previous concepts, is introduced, and the effectiveness of the search, directed towards the user's preferred solutions, is shown using an extensive set of experiments including the necessary statistical performance assessment.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL