Optimization algorithms for multi-objective ...
Document type :
Communication dans un congrès avec actes
Title :
Optimization algorithms for multi-objective problems with fuzzy data
Author(s) :
Bahri, Oumayma [Auteur]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Ben Amor, Nahla [Auteur]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Talbi, El-Ghazali [Auteur]
Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Ben Amor, Nahla [Auteur]
Laboratoire de Recherche Opérationnelle de Décision et de Contrôle de Processus [LARODEC]
Talbi, El-Ghazali [Auteur]

Parallel Cooperative Multi-criteria Optimization [DOLPHIN]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Conference title :
IEEE SSCI‘2014 Symposium Series on Computational Intelligence
City :
Orlando
Country :
Etats-Unis d'Amérique
Start date of the conference :
2014-12-09
HAL domain(s) :
Computer Science [cs]/Operations Research [math.OC]
English abstract : [en]
This paper addresses multi-objective problems withfuzzy data which are expressed by means of triangular fuzzynumbers. In our previous work, we have proposed a fuzzy Paretoapproach for ranking the generated triangular-valued ...
Show more >This paper addresses multi-objective problems withfuzzy data which are expressed by means of triangular fuzzynumbers. In our previous work, we have proposed a fuzzy Paretoapproach for ranking the generated triangular-valued functions.Then, since the classical multi-objective optimization methods canonly use crisp values, we have applied a defuzzification process.In this paper, we propose a fuzzy extension of two well-knownmulti-objective evolutionary algorithms: SPEA2 and NSGAII byintegrating the fuzzy Pareto approach and by adapting theirclassical techniques of diversity preservation to the triangularfuzzy context. An application on multi-objective Vehicle RoutingProblem (VRP) with uncertain demands is finally proposed andevaluated using some experimental tests.Show less >
Show more >This paper addresses multi-objective problems withfuzzy data which are expressed by means of triangular fuzzynumbers. In our previous work, we have proposed a fuzzy Paretoapproach for ranking the generated triangular-valued functions.Then, since the classical multi-objective optimization methods canonly use crisp values, we have applied a defuzzification process.In this paper, we propose a fuzzy extension of two well-knownmulti-objective evolutionary algorithms: SPEA2 and NSGAII byintegrating the fuzzy Pareto approach and by adapting theirclassical techniques of diversity preservation to the triangularfuzzy context. An application on multi-objective Vehicle RoutingProblem (VRP) with uncertain demands is finally proposed andevaluated using some experimental tests.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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