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A two-stage dominance-based surrogate-assisted evolution algorithm for high-dimensional expensive multi-objective optimization
In the past decades, surrogate-assisted evolutionary algorithms (SAEAs) have become one of the most popular methods to solve expensive multi-objective optimization problems (EMOPs). However, most existing methods focus on low-dimensional EMOPs because a large number of training samples are required...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10423721/ https://www.ncbi.nlm.nih.gov/pubmed/37574501 http://dx.doi.org/10.1038/s41598-023-40019-6 |