Convergence of Stochastic Search Algorithms to Finite Size Pareto Set Approximations

Schuetze, Oliver; Laumanns, Marco; Coello Coello, Carlos; Dellnitz, Michael; Talbi, El-Ghazali

Document type :

Rapport de recherche

Title :

Convergence of Stochastic Search Algorithms to Finite Size Pareto Set Approximations

Author(s) :

Schuetze, Oliver [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Laumanns, Marco [Auteur]
Coello Coello, Carlos [Auteur]
Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional [CINVESTAV]
Dellnitz, Michael [Auteur]
Talbi, El-Ghazali [Auteur]

Laboratoire d'Informatique Fondamentale de Lille [LIFL]

Institution :

INRIA

Publication date :

2006

HAL domain(s) :

Informatique [cs]/Recherche opérationnelle [cs.RO]

English abstract : [en]

In this work we study the convergence of generic stochastic search algorithms toward the Pareto set of continuous multi-objective optimization problems. The focus is on obtaining a finite approximation that should capture ...
Show more >In this work we study the convergence of generic stochastic search algorithms toward the Pareto set of continuous multi-objective optimization problems. The focus is on obtaining a finite approximation that should capture the entire solution set in a suitable sense, which will be defined using the concept of $\epsilon$-dominance. Under mild assumptions about the process to generate new candidate solutions, the limit approximation set will be determined entirely by the archiving strategy. We investigate two different archiving strategies which lead to a different limit behavior of the algorithms, yielding bounds on the obtained approximation quality as well as on the cardinality of the resulting Pareto set approximation. Finally, we demonstrate the potential for a possible hybridization of a given stochastic search algorithm with a particular local search strategy -- multi-objective continuation methods -- by showing that the concept of $\epsilon$-dominance can be integrated into this approach in a suitable way.Show less >

Language :

Anglais

Collections :

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

Source :

Harvested from HAL

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