New college entrance examination scheduling method based on particle swarm algorithm
A particle swarm algorithm, the technology of the college entrance examination, applied in the field of neural network, can solve the problem that the high-level curriculum is not simple, and achieve the effect of reducing the redundancy of teachers and classrooms and rational distribution
Active Publication Date: 2021-03-16
BEIJING UNIV OF TECH
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Problems solved by technology
[0016] For the new college entrance examination questions, it is not easy to use the exhaustive method or the particle swarm algorithm to arrange courses to obtain a high-level class schedule
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[0058] Some technical details of the present invention will be further described in detail below.
[0059] 1) Teacher workload setting
[0060] 1. It is stipulated that Chinese, Mathematics and English teachers need to teach 2 to 3 classes, and each class has 5 lessons per week.
[0061] 2. It is stipulated that the teachers of the three main subjects chosen from six to three will lead 2 to 3 classes, and each class will have 4 lessons per week.
[0062] 3. It is stipulated that the teachers of the three secondary subjects selected from six and three not selected will lead 4 classes, and each class will have 2 lessons per week.
[0063] 4. It is stipulated that music, physical education, art, computer, and reading are five sub-subject teachers leading 10 classes, and each class has 1 class per week.
[0064] 2) Weekly schedule of classes
[0065] Each class has 5 classes per week, 8 classes per day, so each class has 40 classes per week. We assign these 40 lessons accordin...
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The invention discloses a new college entrance examination course arrangement algorithm based on a particle swarm algorithm, belongs to the field of neural networks, solves the course arrangement problem in a '3 + 3 'mode of the new college entrance examination by applying the particle swarm algorithm, and obtains a satisfactory random course arrangement result after optimization processing in combination with a teacher teaching plan specified by the education department and considering the practical application condition of course arrangement of middle schools. The algorithm meets the hard constraint condition of the course scheduling problem under the new college entrance examination policy, and ensures that the same teacher does not appear in two classrooms at the same time and a plurality of teachers do not appear in one class at the same time. The algorithm can meet the soft constraint condition of the course arrangement problem under the new college entrance examination policy, ensures that at most one course is taken every day in each subject of each class, synchronously promotes the teaching plan, ensures that the number of needed teachers and the number of needed classrooms are minimum, reasonably distributes the teaching resources, and reduces the redundancy of the teachers and the classrooms. The user-defined constraint condition of the course arrangement problem under the new college entrance examination policy is met, and after the score weight corresponding to the subject and the time period is input, the course arrangement result moves towards the direction of the user input condition.
Description
Technical field: [0001] The invention belongs to the field of neural networks, and designs and implements a method for arranging courses by using a particle swarm algorithm under the new college entrance examination policy. Background technique: [0002] With the continuous development of my country's education, the computer intelligent course scheduling system has been more and more widely used in the educational information management system. The essence of class scheduling is to arrange a group of appropriate teaching time and place for all courses, so that the teaching work can be carried out smoothly. The problem of class scheduling is the main problem faced by schools in the management and optimal allocation of teaching resources. It is more difficult to schedule courses under the new college entrance examination policy. [0003] The new college entrance examination policy allows candidates to choose three courses from the six courses of "History, Geography, Material...
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IPC IPC(8): G06Q10/10G06Q50/20G06N3/00
CPCG06N3/006G06Q10/1093G06Q50/205
Inventor 孙光民赵莹帝纪强孙兴武赵楠
Owner BEIJING UNIV OF TECH