相关实验视频
一个公平意识的大学招生推系统,平衡运营约束和战略目标
Ahmed Ibrahim1, Ala Alarood2, Eesa Alsolami3
1Department of Computer Science and Artificial Intelligence, College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia. amabrahem6@uj.edu.sa.
Scientific reports
|November 13, 2025
概括
本研究介绍了使用约束满足和目标编程的优化学生分配系统. 这种新的方法平衡了入学目标,提高了公平性,并确保遵守高等教育入学限制.
科学领域:
- 运营研究 运营研究
- 高等教育行政管理.
- 计算机科学 计算机科学
背景情况:
- 大学面临着平衡学生入学竞争目标的挑战.
- 现有的方法很难有效地管理硬和软约束.
- 需要优化,公平的高等教育入学管理系统.
研究的目的:
- 开发一个推系统,以优化学生在高等教育中的作业.
- 整合约束满足问题 (CSP) 技术,目标编程和公平理论.
- 为了在入学目标,约束遵守和公平的座位分配之间取得平衡.
主要方法:
- 开发了一种结合CSP,目标编程和公平理论的模型.
- 对于软约束 (例如,配额,偏好) 的内置可调节的惩罚功能.
- 使用招生能力和吉尼系数对静态和启发式基准进行绩效评估.
主要成果:
- 保持了总容量的85-90%的入学率.
- 显著减少了违反约束的频率和严重性.
- 实现了0.067的平均吉尼系数,表明座位分布更公平.
- 在四个模拟录取周期内,证明了实质性的合规改进.
结论:
- 拟议的系统为招生管理提供了一个实用,数据驱动的解决方案.
- 有效地平衡了约束遵守与稳定的入学数据.
- 为资源有限的高等教育机构提供灵活和公平的方法.
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