Exploration the application of genetic algorithms and gene expression programming in future power system infrastructure

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@InProceedings{Yingjie:2022:ACPEE,

• author = "Liu Yingjie and Fan Rongquan and Xia Yuhang and Huang Zhengwen and Liu Yijun and Li Guoquan and Gao Yang",
• booktitle = "2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)",
• title = "Exploration the application of genetic algorithms and gene expression programming in future power system infrastructure",
• year = "2022",
• pages = "581--585",
• abstract = "Evolutionary on the existing infrastructure construction work of power system brings significant amount of the BIG data being processed. Nowadays infrastructure construction in power system receiving an explosive level upgrading, the data generated from future power system infrastructure environment becomes an obvious research hotspot. How to handle the BIG data in an efficient and flexible manner turns to be a hot research spot. This work explores two applicable and reliable solution within the type of systematic modelling-based category. Two classical evolutionary algorithm variants, genetic algorithms and gene expression programming (GEP) are introduced, evaluated for interested researchers in power system domain.",
• keywords = "genetic algorithms, genetic programming, gene expression programming, Systematics, Evolutionary computation, Big Data, Explosives, Power systems, Power system reliability, power system infrastructure, data, information",
• DOI = "doi:10.1109/ACPEE53904.2022.9783616",
• month = apr,
• notes = "Also known as \cite{9783616}",

}

Genetic Programming entries for Liu Yingjie Fan Rongquan Xia Yuhang Huang Zhengwen Liu Yijun Li Guoquan Gao Yang

Citations