Design of Automatic Course Arrangement System for Electronic Engineering Teaching Based on Monte Carlo Genetic Algorithm

In order to overcome the problems of convergence and low satisfaction in the traditional course scheduling system, a new Electronic Engineering Teaching Automatic Course Scheduling System based on the Monte Carlo genetic algorithm is proposed in this paper. The overall structure and hardware structu...

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Bibliographic Details
Published in:Security and communication networks 2021-09, Vol.2021, p.1-11
Main Author: Shuai, Chun-jiang
Format: Article
Language:English
Subjects:
Classrooms
Convergence
Curricula
Education
Electronic engineering
Engineering
Engineering education
Genetic algorithms
Hardware
Information professionals
Information storage
Optimization
Scheduling
Students
Teachers
Teaching
User satisfaction
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Summary:In order to overcome the problems of convergence and low satisfaction in the traditional course scheduling system, a new Electronic Engineering Teaching Automatic Course Scheduling System based on the Monte Carlo genetic algorithm is proposed in this paper. The overall structure and hardware structure of the course scheduling system are designed. The hardware includes system management, course scheduling information input, course scheduling management, and course schedule query. In the software part, the Monte Carlo genetic algorithm is used to optimize the course scheduling optimization process, and a course scheduling scheme more in line with the needs of students and teachers is obtained. The experimental results show that the Monte Carlo genetic algorithm has higher convergence and higher user satisfaction compared with the traditional genetic algorithm. Therefore, it shows that the performance of the course scheduling system has been effectively improved.
ISSN:1939-0114
1939-0122
DOI:10.1155/2021/3564722