inria-00385079, version 1
A Parallel Multiple Reference Point Approach for Multi-objective Optimization
N° RR-6938 (2009)
Résumé : 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.
- 1 :
- CNRS : UMR7024 – Université Paris IX - Paris Dauphine
- 2 :
- Technical University of Lisbon
- 3 :
- CNRS : UMR8022 – Université Lille I - Sciences et technologies – Université Lille III - Sciences humaines et sociales – INRIA
- 4 :
- INRIA – CNRS : UMR8022 – Université Lille I - Sciences et technologies
- 5 :
- Aucune
- 6 :
- JAIST
- Domaine : Mathématiques/Combinatoire
- Mots-clés : multi-objective optimization – reference point – achievement scalarizing function – parallelization – bi-objective scheduling problems
- Référence interne : RR-6938
- inria-00385079, version 1
- http://hal.inria.fr/inria-00385079
- oai:hal.inria.fr:inria-00385079
- Contributeur :
- Soumis le : Lundi 18 Mai 2009, 13:47:21
- Dernière modification le : Lundi 18 Mai 2009, 13:51:09





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