Research on Public Resource Management Technology Based on Improved Differential Algorithm

Xue Wenhua

2025

Abstract

Management technology research plays an important role in the public resources of intelligent universities, but there is a problem of inaccurate management scope. The traditional genetic algorithm cannot solve the resource management problem in the public resources of intelligent universities, and the management effect is not ideal. Therefore, this paper proposes research on public resource management technology in colleges and universities based on improved differential algorithm, and analyzes the research on public resource management technology in universities. In the era of knowledge economy, the optimal allocation of higher education resources and the promotion of management efficiency have become the key factors to promote the sustainable development of colleges and universities. With the continuous expansion of the scale of education and the increasing shortage of educational resources, how to scientifically and rationally manage and use the public resources of colleges and universities has become an important issue for managers.

Paper Citation

in Harvard Style

Wenhua X. (2025). Research on Public Resource Management Technology Based on Improved Differential Algorithm. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 177-181. DOI: 10.5220/0013537900004664

in Bibtex Style

@conference{incoft25,
author={Xue Wenhua},
title={Research on Public Resource Management Technology Based on Improved Differential Algorithm},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={177-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013537900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Research on Public Resource Management Technology Based on Improved Differential Algorithm
SN - 978-989-758-763-4
AU - Wenhua X.
PY - 2025
SP - 177
EP - 181
DO - 10.5220/0013537900004664
PB - SciTePress