Algorithm Construction of Artificial Intelligence Expression Programming in Complex Function Polymorphism Modeling

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Zhang:2022:ICKES,

• author = "Jing Zhang and Cheng Wan",
• booktitle = "2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)",
• title = "Algorithm Construction of Artificial Intelligence Expression Programming in Complex Function Polymorphism Modeling",
• year = "2022",
• address = "Chickballapur, India",
• month = "28-29 " # dec,
• keywords = "genetic algorithms, genetic programming, gene expression programming, Computational modelling, Manuals, Data processing, Data models, Gene expression, Task analysis, artificial intelligence, complex function, polymorphic modelling",
• issn13 = "978-1-6654-5638-8",
• DOI = "DOI:10.1109/ICKECS56523.2022.10060583",
• abstract = "In the age of underdeveloped science and technology, people are faced with massive amounts of data, mainly through manual processing of data. However, with the increase in the complexity of the functions and the explosive data growth in the later stage, this kind of relying on purely manual methods to deal with the problem of function discovery is not enough. The data processing process will consume a lot of manpower and time, and the processing efficiency is not high and the accuracy is limited. With the development of society and the growing strength of science and technology, genetic algorithms and genetic programming have been widely used in the field of artificial intelligence(AI). People use algorithms and programming techniques to improve the efficiency of computer data processing, and data optimisation tasks can be automatically completed through computer program settings., realized AI, and thus the gene expression programming algorithm was born. Its appearance provided a strong guarantee for the development of the construction of complex function polymorphic modelling algorithm construction, and produced remarkable results.",
• notes = "Also known as \cite{10060583}",

}

Genetic Programming entries for Jing Zhang Cheng Wan

Citations