An improved farmland fertility algorithm for many-objective optimization problems

Recent studies on many-objective optimization problems (MaOPs) have tended to employ some promising evolutionary algorithms with excellent convergence accuracy and speed. However, difficulties in scalability upon MaOPs including the selection of leaders, etc., are encountered because the most evolut...

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Detalles Bibliográficos
Autores principales: Wang, Yanjiao, Gao, Peng, Chen, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847583/
https://www.ncbi.nlm.nih.gov/pubmed/35169153
http://dx.doi.org/10.1038/s41598-022-06329-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847583/
https://www.ncbi.nlm.nih.gov/pubmed/35169153
http://dx.doi.org/10.1038/s41598-022-06329-x

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