Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)

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Risk Assessment and Control of Enterprise Fund Management Based on Genetic Algorithm

Authors
Yufeng Wu1, *
1Beijing weeds Management Consulting Co., Beijing, China
*Corresponding author. Email: Wuyufeng@weeds.group
Corresponding Author
Yufeng Wu
Available Online 27 October 2023.
DOI
10.2991/978-94-6463-276-7_5How to use a DOI?
Keywords
Fund Management; Genetic Algorithm; Enterprise Funds; Risk Assessment and Control
Abstract

Enterprise capital management is an important link in enterprise management, risk assessment and control is the key to ensure the safe operation of enterprise capital. In view of the problems existing in the previous application of enterprise capital management methods, a risk assessment and control method of enterprise capital management based on genetic algorithm is proposed in this paper. The method can carry out a comprehensive and systematic assessment of enterprise capital management risks, and give the corresponding control measures according to the assessment results. The experimental results show that the use of genetic algorithm for enterprise capital management has a great improvement compared with the previous methods. The accuracy rate increased by 12.6 percent from the average 67.6 percent, and the running speed decreased by 8.12 hours from the average 15.82 hours. Therefore, genetic algorithm can effectively improve the risk assessment and control ability of enterprise capital management.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 October 2023
ISBN
978-94-6463-276-7
ISSN
2667-128X
DOI
10.2991/978-94-6463-276-7_5How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yufeng Wu
PY  - 2023
DA  - 2023/10/27
TI  - Risk Assessment and Control of Enterprise Fund Management Based on Genetic Algorithm
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 36
EP  - 45
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_5
DO  - 10.2991/978-94-6463-276-7_5
ID  - Wu2023
ER  -