Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization

Huang Jian, Wang Yihan

2025

Abstract

The procurement optimization scheme plays an important role in the asset procurement of universities, but there is the problem of inaccurate optimization positioning. The traditional genetic algorithm cannot solve the problem of procurement optimization in the asset procurement of universities, and the effect is not satisfactory. In the management of modern educational resources, the procurement of university assets is a crucial link. It is not only related to the teaching and research ability of the school, but also directly affects the economic benefits and development sustainability of the school. Therefore, developing an efficient, cost-effective and future-proof procurement plan is an important topic for every university administrator. This article will discuss how to achieve multi-objective optimization of university asset procurement, and propose an innovative and practical solution.

Paper Citation

in Harvard Style

Jian H. and Yihan W. (2025). Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 352-357. DOI: 10.5220/0013543500004664

in Bibtex Style

@conference{incoft25,
author={Huang Jian and Wang Yihan},
title={Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={352-357},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013543500004664},
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 - Design of University Asset Procurement Optimization Scheme Considering Multi-Objective Optimization
SN - 978-989-758-763-4
AU - Jian H.
AU - Yihan W.
PY - 2025
SP - 352
EP - 357
DO - 10.5220/0013543500004664
PB - SciTePress