线性规划模型在网络实验教学平台数据优化中的应用研究  

Application of linear planning model in data optimization of network experiment teaching platform

作　　者：严峰军[1] YAN Fengjun(Xi’an siyuan university,Xi’an 710038,China)

机构地区：[1]西安思源学院,西安710038

出　　处：《自动化与仪器仪表》2024年第12期229-233,共5页Automation & Instrumentation

基　　金：陕西本科和高等继续教育教学改革研究项目《应用型本科院校程序设计课程教学改革的研究与实践》(23BY183)。

摘　　要：对线性规划模型在网络实验教学平台数据优化中的应用进行研究,提出了一种基于改进IDPGA算法的高校智能排课系统。首先,对高校排课问题的数学模型进行构建,并根据硬约束条件和软约束条件对模型进行优化;然后在传统遗传算法的基础上对其改进,采用改进后的IDPGA算法对模型进行求解,获取最优排课方案;最后通过算法验证和系统测试,结果表明提出的改进IDPGA算法具有可行性和有效性,能够应用于高校智能排课系统,帮助高校教学管理人员快速获取合理、优质的排课方案,为推动现代教育管理方式提供了一个参考方法。In this paper,the application of linear programming model in data optimization of online experimental teaching platform is studied,and an intelligent course scheduling system for colleges and universities based on improved IDPGA algorithm is proposed.Firstly,the mathematical model of the college course scheduling problem is constructed,and the model is optimized according to the hard and soft constraints,and then on the basis of the traditional genetic algorithm,the improved IDPGA algorithm is used to solve the model to obtain the optimal course scheduling scheme.The high-quality course scheduling scheme provides a reference method for promoting modern education management methods.

关 键 词：遗传算法 排课系统 数学模型 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]