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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Altri autori: | Cruz-Reyes, Laura, Sánchez Solís, Julia Patricia, Fernandez, Eduardo, Coello Coello, Carlos A., Gomez, Claudia |
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Natura: | Artículo |
Lingua: | English |
Pubblicazione: |
2020
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Accesso online: | https://doi.org/10.1016/j.swevo.2020.100652 https://www.sciencedirect.com/science/article/abs/pii/S2210650219304274 |
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