A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history. To boost the performance of offspring generation in the real-coded genetic algorithm (RCGA), in this paper, we propose to exploit the search history cached...

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Detalles Bibliográficos
Autores principales: Nakane, Takumi, Lu, Xuequan, Zhang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537682/
https://www.ncbi.nlm.nih.gov/pubmed/33061949
http://dx.doi.org/10.1155/2020/8835852

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537682/
https://www.ncbi.nlm.nih.gov/pubmed/33061949
http://dx.doi.org/10.1155/2020/8835852

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