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 correspondant]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Wierzbicki, Andrzej [Auteur]
National Institute of Telecommunications [NIT]

Journal title :

European Journal of Operational Research

Pages :

390 - 400

Publisher :

Elsevier

Publication date :

2010

ISSN :

0377-2217

English keyword(s) :

ultiple objective programming
Parallel computing
Multiple reference point approach
Evolutionary computations
Bi-objective flow-shop scheduling

HAL domain(s) :

Informatique [cs]/Recherche opérationnelle [cs.RO]
Informatique [cs]/Algorithme et structure de données [cs.DS]

English abstract : [en]

This paper 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 paper 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

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

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

Source :

Harvested from HAL