A Value Focus Thinking Approach to the Academic Course Scheduling Problem

1998 ◽  
Author(s):  
Shane A. Knighton
Keyword(s):  
Scheduling Problem ◽  
Course Scheduling ◽  
A Value

GA Based Intelligent Curriculum Arrangement System

2014 ◽  
Vol 539 ◽  
pp. 975-978
Author(s):  
Can Luo
Keyword(s):  
Genetic Algorithm ◽  
Scheduling Problem ◽  
Improvement Program ◽  
Slow Convergence ◽  
Course Scheduling ◽  
Complicated Process

This paper proposed an improvement program of solving intelligential course Scheduling problem efficaciously, aimed at Genetic algorithm slow convergence, easy to fall into local optimal dilemma. Curriculum arrangement is a complicated process, for arranging the special curriculum is manually, while general course adopts automatic way. Before the automatic arrangement for some parameters to initialize, schedule is generated after can be manually adjusted.

scholarly journals COURSE SCHEDULING ACCORDING TO STUDENT STRESS

2015 ◽  
Author(s):  
Shuai Ma ◽  
Ali Akgunduz ◽  
Yong Zeng
Keyword(s):  
Undergraduate Students ◽  
Engineering Students ◽  
Retention Rate ◽  
First Year ◽  
Scheduling Problem ◽  
Stress Model ◽  
Student Stress ◽  
Course Scheduling ◽  
Future Work ◽  
Course Difficulty

As many as one in three first-year undergraduate students cannot make it back for the sophomore year. The low retention rate for students, especially engineering students, is a widespread problem. In this paper, the quantification of course difficulty and student stress is discussed, followed by a student stress model which can integrate student stress into the course scheduling problem. Some future work is presented in the conclusion.

scholarly journals University Course Scheduling using the Evolutionary Algorithm

2011 ◽  
Vol 1 (1) ◽  
pp. 7
Author(s):  
Ade Jamal
Keyword(s):  
Evolutionary Algorithm ◽  
Optimization Technique ◽  
Hill Climbing ◽  
Scheduling Problem ◽  
Search Technique ◽  
Academic Administrator ◽  
The Past ◽  
Course Scheduling ◽  
Initial Work ◽  
University Course

Course scheduling problem is hard and time-consuming to solve which is commonly faced by academic administrator at least two times every year. This problem can be solved using search and optimization technique with many constraints. This problem has been well studied in the past, and still becomes favorite subject for researchers. We will briefly discuss the convergence difficulty in our initial work on this subject using a modified hill-climbing search technique[8].  In this paper, an evolutionary algorithm is applied to solve the course scheduling problem and studying mutation techniques involved in the algorithm.

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