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Funding Budget Optimization Model Based on Ant Colony Algorithm

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Published:03 May 2024Publication History

ABSTRACT

Using the ant colony algorithm, on the basis of the distribution pattern of individual project development funding, with the total five-year planning funding index and its annual average value as the constraint and the minimum fluctuation of annual funding arrangement as the objective, the five-year planning funding allocation model for multiple projects is established, the total funding estimate, development cycle and peak investment point of the projects are calculated, the distribution of multi-project development funding requirements over the five-year period is analyzed, and through model optimization, the comparison of the funding requirements and five-year funding indicators before and after adjustment confirms the reliability of the funding budget optimisation model based on the ant colony algorithm, which is conducive to determining the theoretical annual investment intensity for the current five years, optimising the effective allocation of various strategic projects and efficiently and accurately solving the problem of funding resource constraints in the field of equipment construction, etc.

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    • Published in

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      IoTAAI '23: Proceedings of the 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence
      November 2023
      902 pages
      ISBN:9798400716485
      DOI:10.1145/3653081

      Copyright © 2023 Owner/Author

      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

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      • Published: 3 May 2024

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