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Solving Hard Multiobjective Problems with a Hybridized Method

Cagnina, Leticia et al · SEDICI UNLP · 2010

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Author / responsible party
Cagnina, Leticia et al
Publisher
SEDICI UNLP
Year
2010
Language
English

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This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In this approach, only few points will be generated and then, new intermediate points will be calculated using an interpolation method, to increase the among of points in the output Pareto front. The proposed approach is validated using two difficult multiobjective test problems and the results are compared with those obtained by a multiobjective evolutionary algorithm representative of the state of the art: NSGA-II. Facultad de Informática

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APA 7

Cagnina, L. E. A. (2010). Solving Hard Multiobjective Problems with a Hybridized Method. http://sedici.unlp.edu.ar/handle/10915/9678

MLA

Cagnina, Leticia et al. "Solving Hard Multiobjective Problems with a Hybridized Method." 2010. http://sedici.unlp.edu.ar/handle/10915/9678.

Chicago

Cagnina, Leticia et al. 2010. "Solving Hard Multiobjective Problems with a Hybridized Method.". http://sedici.unlp.edu.ar/handle/10915/9678.

Harvard

Cagnina, L. E. A. 2010, Solving Hard Multiobjective Problems with a Hybridized Method, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/9678 [Accessed 9 Aug. 2026].

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Title
Solving Hard Multiobjective Problems with a Hybridized Method
Author / contributors
Cagnina, Leticia et al
Publisher
SEDICI UNLP
Publication year
2010
Language
English

Subjects

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Ciencias Informáticas; optimización multiobjetivo; métodos de restricción; optimización de enjambre de particulas; particle swarm optimization; multi-objective optimization; epsilon-constraint method
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