Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods

A large number of real-world problems require optimising several objective functions at the same time, which are generally in conflict. Many of these problems have been addressed through multi-objective evolutionary algorithms. In this paper, we propose a new hybrid evolutionary algorithm whose ma...

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Bibliographic Details
Other Authors: Cruz-Reyes, Laura, Sánchez Solís, Julia Patricia, Fernandez, Eduardo, Coello Coello, Carlos A., Gomez, Claudia
Format: Artículo
Published: 2020
Online Access:https://doi.org/10.1016/j.swevo.2020.100652
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