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Analysis on the Application of Evolutionary Computing Technology in Innovative Art Teaching System

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Signal and Information Processing, Networking and Computers (ICSINC 2021)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 895))

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Abstract

“Fine Arts” has made great contributions to mankind since ancient times. There are indications that human beings are the first to learn pictures, and then they begin to create words. Art can be regarded as the first teacher of mankind, because art embodies the world outlook and social conditions of every nation, every age. Today, when quality education is highly valued, the past art teaching models need to be innovated to meet people's needs. The rise of evolutionary computing technology provides good support for exploring an innovative design approach for art teaching that supports evolution. This article mainly studies how to apply the genetic algorithm in evolutionary computing technology to the design of art works. This article first studies the current situation of art teaching, and then analyzes the characteristics and principles of evolutionary algorithms in detail, and then uses evolutionary algorithms to build a system for innovative art design. Finally, this article tests the system's operating speed and interactive functions. The results show that the running speed of the system is still relatively fast, and the interactive function is also very reliable.

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Acknowledgements

Project Name: Innovative Research on Public Aesthetic Education Curriculum construction of private colleges and universities in Jilin Province.2021 Jilin Province general subject of Higher Education and Scientific Research (JGJX2021D628).

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Authors and Affiliations

  1. Art Department, Changchun Humanities and Sciences College, Changchun, Jilin, China

    Tianyu Jiang & Xin Sun

Authors
  1. Tianyu Jiang
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  2. Xin Sun
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Correspondence to Tianyu Jiang .

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Editors and Affiliations

  1. Beijing University of Posts and Telecommunications, Beijing, China

    Songlin Sun

  2. Beihang University, Beijing, China

    Tao Hong

  3. Beijing University of Posts and Telecommunications, Beijing, China

    Peng Yu

  4. Beijing University of Posts and Telecommunications, Beijing, China

    Jiaqi Zou

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Jiang, T., Sun, X. (2022). Analysis on the Application of Evolutionary Computing Technology in Innovative Art Teaching System. In: Sun, S., Hong, T., Yu, P., Zou, J. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2021. Lecture Notes in Electrical Engineering, vol 895. Springer, Singapore. https://doi.org/10.1007/978-981-19-4775-9_152

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  • DOI: https://doi.org/10.1007/978-981-19-4775-9_152

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4774-2

  • Online ISBN: 978-981-19-4775-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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