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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| Другие авторы: | , , , , |
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| Формат: | Artículo |
| Язык: | English |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://doi.org/10.1016/j.swevo.2020.100652 https://www.sciencedirect.com/science/article/abs/pii/S2210650219304274 |
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