IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1906031.html
   My bibliography  Save this article

Research on Multi-Objective Intelligent Optimization of Financial Resource Management and Allocation Methods in Colleges and Universities

Author

Listed:
  • Shanshan Guo
  • Man Fai Leung

Abstract

Higher education is the cornerstone of national development. With the rapid development of higher education, it puts forward requirements for the management and allocation of financial resources in colleges and universities. In order for sustainable development of colleges and universities, how to optimize the management and allocation of financial resources has become an important condition. To ensure the smooth implementation and development of various works in colleges and universities and to improve the scientific rationality of college financial budgets, this paper starts with the challenges faced by the college financial work in the new era, analyzes the problems of the college financial resource management, and proposes relevant solutions. Method: combined with the intelligent optimization algorithm, the method used in different situations of financial configuration is introduced, and compared with different algorithms, according to the comparison results, we can get the better intelligent optimization algorithm we want and find the optimal solution among global instances.

Suggested Citation

  • Shanshan Guo & Man Fai Leung, 2022. "Research on Multi-Objective Intelligent Optimization of Financial Resource Management and Allocation Methods in Colleges and Universities," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, July.
  • Handle: RePEc:hin:jnlmpe:1906031
    DOI: 10.1155/2022/1906031
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1906031.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1906031.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/1906031?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:1906031. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.