Application of Genetic Optimization Algorithm in Financial Portfolio Problem

In order to address the application of genetic optimization algorithms to financial investment portfolio issues, the optimal allocation rate must be high and the risk is low. This paper uses quadratic programming algorithms and genetic algorithms as well as quadratic programming algorithms, Matlab p...

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Detalles Bibliográficos
Autores principales: Li, He, Shi, Naiyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307338/
https://www.ncbi.nlm.nih.gov/pubmed/35875786
http://dx.doi.org/10.1155/2022/5246309

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307338/
https://www.ncbi.nlm.nih.gov/pubmed/35875786
http://dx.doi.org/10.1155/2022/5246309

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