Course scheduling system design and implementation based on genetic algorithm

Author(s):  
Hou Ming ◽  
Chen Qi
2002 ◽  
Vol 137 (3) ◽  
pp. 512-523 ◽  
Author(s):  
Ramon Alvarez-Valdes ◽  
Enric Crespo ◽  
Jose M Tamarit

2013 ◽  
Vol 760-762 ◽  
pp. 1782-1785
Author(s):  
Xiu Ying Li ◽  
Dong Ju Du

A reasonable curriculum contributes to the improvement of the training and teaching quality of college students. Using computer which is speed and strong ability to arrange curriculum automatically is imperative. Automatically curriculum arrangement is a constrained, multi-objective and intricate combinatorial optimization problem. Based on genetic algorithm of population search, it is suitable to process complex and nonlinear optimization problems which it difficult to solve for traditional search methods. In this paper solves complex automated course scheduling using genetic algorithms.


2014 ◽  
Vol 998-999 ◽  
pp. 1108-1112
Author(s):  
Rong Hua Lu ◽  
Hai Ying Liu

Course scheduling is the permutations and combinations of teachers and students in terms of time and space according to different constraints so as to make teaching proceed normally. The course scheduling of laboratories is similar to but not the same as the course scheduling of normal classrooms. This paper completes the system of course scheduling in computer laboratories with reference to the course scheduling algorithm and implementation of theory teaching. The system is running well.


This work described in the paper to show the implementation of Proportional Integral (PI) controller, Genetic algorithm based PI (GAPI), and Particle swarm optimization based PI (PSO-PI) for a Quarter Car System. The trip comfort is developed by means of the decrease of the body acceleration caused by the car body, due to the smoothness of the road. This paper tells about the model and controllers used in the study and discuss the vehicle response results. In the conclusion, a comparison of PI, GA-PI, and PSO-PI is shown using MATLAB simulations.


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