A Parallel Multiple Reference Point Approach ...
Document type :
Rapport de recherche: Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
A Parallel Multiple Reference Point Approach for Multi-objective Optimization
Author(s) :
Figueira, José [Auteur]
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Center for Management Studies, Instituto Superior Técnico [Porto Salvo] [CEG - IST]
Liefooghe, Arnaud [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Wierzbicki, Andrzej [Auteur]
National Institute of Telecommunications [NIT]
Japan Advanced Institute of Science and Technology [JAIST]
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Center for Management Studies, Instituto Superior Técnico [Porto Salvo] [CEG - IST]
Liefooghe, Arnaud [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Talbi, El-Ghazali [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Wierzbicki, Andrzej [Auteur]
National Institute of Telecommunications [NIT]
Japan Advanced Institute of Science and Technology [JAIST]
Institution :
INRIA
Publication date :
2009
English keyword(s) :
multi-objective optimization
reference point
achievement scalarizing function
parallelization
bi-objective scheduling problems
reference point
achievement scalarizing function
parallelization
bi-objective scheduling problems
HAL domain(s) :
Mathématiques [math]/Combinatoire [math.CO]
English abstract : [en]
This document presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature. When approximating the Pareto Frontier, multiple reference points can be used instead ...
Show more >This document presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature. When approximating the Pareto Frontier, multiple reference points can be used instead of traditional techniques. These multiple reference points can easily be implemented in a parallel algorithmic framework. The reference points can be uniformly distributed within a region that covers the Pareto Frontier. An evolutionary algorithm is based on an achievement scalarizing function that does not impose any restrictions with respect to the location of the reference points in the objective space. Computational experiments are performed on a bi-objective flow-shop scheduling problem. Results, quality measures as well as a statistical analysis are reported in the paper.Show less >
Show more >This document presents a multiple reference point approach for multi-objective optimization problems of discrete and combinatorial nature. When approximating the Pareto Frontier, multiple reference points can be used instead of traditional techniques. These multiple reference points can easily be implemented in a parallel algorithmic framework. The reference points can be uniformly distributed within a region that covers the Pareto Frontier. An evolutionary algorithm is based on an achievement scalarizing function that does not impose any restrictions with respect to the location of the reference points in the objective space. Computational experiments are performed on a bi-objective flow-shop scheduling problem. Results, quality measures as well as a statistical analysis are reported in the paper.Show less >
Language :
Anglais
Collections :
Source :
Files
- https://hal.inria.fr/inria-00385079/document
- Open access
- Access the document
- https://hal.inria.fr/inria-00385079/document
- Open access
- Access the document
- https://hal.inria.fr/inria-00385079/document
- Open access
- Access the document
- document
- Open access
- Access the document
- RR-6938.pdf
- Open access
- Access the document