遗传算法在教务管理系统中的应用研究

发布时间：2018-09-07 20:15

【摘要】：我国高校的招生数量及规模在近年迅速扩大，给不少高校的教务管理带来了新的挑战。新形势下，一些高校原有的教务管理系统出现了设计不够完善、智能化程度不高的问题，已经无法适应教务管理的要求。因而研究使用更好的算法来设计开发新的智能化教务管理系统，进行教务管理改革已成为当前高校的迫切要求。本文从系统理论的角度分析了目前常见的旧教务管理系统存在的问题，探讨将遗传算法运用到教务管理系统的设计中去。通过对遗传算法在教务管理系统相关模块中的运用进行研究，把教务管理系统中的排课、排考、教室借用、教学工作量计算等功能进行整合，减少学校管理部门之间数据的重复输入输出，提高学校教务管理的效率和水平。本文以茂名职业技术学院为例，对教务管理系统的各个模块的功能进行较为详细的分析研究，，对原有旧系统的功能进行了智能化的改造设计，补充了教学工作量子系统和教室借用子系统，提出一个较为理想的教务管理系统模型，使各个功能相互联系的子系统组成的教务管理系统能够解决以前各个独立系统数据不能共享的难题，实现系统理论提出的1加1大于2的目标。本文重点论述了遗传算法在教学排课等功能中的应用，对排课和排考两个模块中的所涉及的时间表问题进行了深入的分析研究，对排课及排考模块中的硬性约束条件和软性约束条件进行了详细的讨论，根据约束条件定义了适应度值函数。通过对旧的教务管理系统与应用遗传算法等技术进行设计的新系统进行实验比较，数据结果表明遗传算法能很好解决旧的教务管理系统中存在的问题，能够更多地满足软性约束条件。新的教务管理系统优于旧的教务管理系统。
[Abstract]:In recent years, the number and scale of enrollment in colleges and universities in our country have expanded rapidly, which has brought new challenges to the educational administration management of many colleges and universities. Under the new situation, some existing educational administration management systems in colleges and universities have appeared the problems of imperfect design and low degree of intelligence, which have been unable to meet the requirements of educational administration management. Therefore, it has become an urgent requirement for colleges and universities to design and develop a new intelligent educational administration management system by using better algorithms and to carry out the reform of educational administration management. This paper analyzes the problems existing in the old educational administration management system from the point of view of system theory, and discusses the application of genetic algorithm to the design of educational administration system. By studying the application of genetic algorithm in the relevant modules of educational administration system, the functions of arranging courses, arranging examinations, borrowing classrooms and calculating teaching workload in the educational administration system are integrated. To reduce the repeated input and output of data between school management departments and improve the efficiency and level of school administration. Taking Maoming Vocational and Technical College as an example, the functions of each module of the educational administration system are analyzed and studied in detail, and the functions of the original old system are designed intelligently. In addition to the quantum system of teaching work and the classroom borrowing subsystem, an ideal model of educational administration system is proposed. The educational administration system, which is composed of subsystems with interrelated functions, can solve the problem that the data of each independent system can not be shared in the past, and realize the goal of 1 + 1 > 2, which is proposed by the system theory. This paper focuses on the application of genetic algorithm in the function of teaching and arranging courses, and makes an in-depth analysis and research on the timetable problems involved in the two modules: arranging courses and arranging examinations. The hard and soft constraints in the course scheduling and test scheduling modules are discussed in detail, and the fitness function is defined according to the constraints. Through the experimental comparison between the old educational administration system and the new system designed by applying genetic algorithm and other technologies, the results show that the genetic algorithm can solve the problems in the old educational administration system very well. More soft constraints can be satisfied. The new educational administration system is superior to the old one.
【学位授予单位】：广东技术师范学院
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：G647.3;TP18

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