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A Method for Digital Resource Allocation in Mobile Online Education Based on Ant Colony Algorithm

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Advanced Hybrid Information Processing (ADHIP 2023)

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Abstract

In response to the problems of low accuracy and long time consumption in traditional methods for mobile online education digital resource allocation, a mobile online education digital resource allocation method based on ant colony algorithm is proposed. Firstly, the characteristics of mobile online education digital resources were extracted and the key nodes for resource allocation were determined. Based on this, we can accurately grasp the core issues of resource allocation and improve the accuracy and efficiency of resource allocation. On this basis, the Ant colony optimization algorithms is used as the basis of resource allocation. By initializing the mobile online education digital resource allocation Pheromone, and according to the resource allocation path selection rules, the dynamic Pheromone update is carried out. By simulating the behavior of ant colonies in searching for food, the allocation of digital resources for mobile online education is achieved. The resource allocation method based on Ant colony optimization algorithms has better global search ability and adaptability, can better guide the process of resource allocation, and improve the accuracy and efficiency of resource allocation. The experimental results show that this method has a shorter extraction time for educational digital resource information, better integration and output of educational digital resources, better accuracy in resource allocation, and higher allocation efficiency. The experimental results show that the method in this paper takes less time to extract the information of educational digital resources, the integration and output of educational digital resources are better, the accuracy of resource allocation is better, and the allocative efficiency is better.

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Authors and Affiliations

  1. School of Tourism and Humanities, Heilongjiang Polytechnic, Harbin, 150086, China

    Yan Huang

  2. Heilongjiang Polytechnic, Harbin, 150086, China

    Xiaotang Geng

Authors
  1. Yan Huang
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  2. Xiaotang Geng
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Corresponding author

Correspondence to Yan Huang .

Editor information

Editors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Lin Yun

  2. Harbin Engineering University, Harbin, China

    Jiang Han

  3. Harbin Engineering University, Harbin, China

    Yu Han

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Huang, Y., Geng, X. (2024). A Method for Digital Resource Allocation in Mobile Online Education Based on Ant Colony Algorithm. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 547. Springer, Cham. https://doi.org/10.1007/978-3-031-50543-0_23

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  • DOI: https://doi.org/10.1007/978-3-031-50543-0_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50542-3

  • Online ISBN: 978-3-031-50543-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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