An innovative educational resource allocation method based on NSGA-II algorithm

被引：0
|
作者：
Chen J. [1 ]
机构：
[1] Institute of Marxism, Zhejiang University of Water Resources and Electric Power, Zhejiang, Hangzhou
来源：
International Journal of Reasoning-based Intelligent Systems | 2024年 / 16卷 / 03期
关键词：
index closeness; innovation education; multi-objective function; NSGA-II algorithm; resource allocation;
D O I：
10.1504/IJRIS.2024.139834
中图分类号：
学科分类号：
摘要：
Because the traditional allocation method of innovative education resources has some problems, such as the closeness of innovative education indicators, the utilisation efficiency of innovative education resources and the low efficiency of innovative education resources allocation, proposes an innovative educational resource allocation method based on NSGA-II algorithm. Firstly, the index system of innovative education resource allocation is established, and the weight of the index is calculated by using the analytic hierarchy process. Secondly, with the goal of optimal closeness, maximum resource utilisation efficiency and fastest resource allocation efficiency, a multi-objective function of innovative education resource allocation is established. Finally, NSGA-II algorithm is used to solve the objective function, and the obtained solution is the optimal strategy. The experiment results show that the proposed method has a high closeness of innovative education indicators and a high efficiency of innovative education resource utilisation, which improves the efficiency of innovative education resource allocation. Copyright © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码：231 / 239
页数：8
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