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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

Research Article

Research on Art Design Education Based on Genetic Algorithm

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23950-2_61,
        author={Xi Tian},
        title={Research on Art Design Education Based on Genetic Algorithm},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2023},
        month={1},
        keywords={Art design Genetic algorithm},
        doi={10.1007/978-3-031-23950-2_61}
    }
    
  • Xi Tian
    Year: 2023
    Research on Art Design Education Based on Genetic Algorithm
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-23950-2_61
Xi Tian1,*
  • 1: Xi’an Academy of Fine Arts, Xi’an
*Contact email: tianxi3707054@163.com

Abstract

In today’s society, with the improvement of people’s living standards and the acceleration of the pace of life, people’s consumption concept is gradually changing. Consumers pay more and more attention to the appreciation of works of art. The beautiful appearance and shape of the art improve the value of the art in people’s mind. Now the artistic feeling is mainly based on the long-term experience. In order to realize the innovation of art design, designers must broaden their thinking and try their best to tap creative inspiration. How to tap creative inspiration and bring forth the new has become the key to art design. This paper attempts to use genetic algorithm to study it, and obtain more design schemes through the replacement and iteration of genetic algorithm, so as to broaden the thinking of designers and realize the innovation of art design.

Keywords
Art design Genetic algorithm
Published
2023-01-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23950-2_61
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