Journal of Engineering, Project, and Production Management, 2026, 16(5), 2026-21
An Intelligent Computer Course Scheduling Method Using IGA-ISA
Dean, College of Continuing Education, Jiangsu Vocational College of Finance and Economics, Huai'an, 223003, China, Email: Xubai18@outlook.com
Project Management
Received January 9, 2026; revised March 17, 2026; accepted July 16, 2026
Available online July 25, 2026
Abstract: To solve the problems of many resource conflicts and low efficiency of traditional algorithms in course scheduling in colleges and universities, this study proposes an intelligent course scheduling method based on the Improved Genetic Algorithm-Improved Simulated Annealing Algorithm (IGA-ISA). First, the hard and soft constraints of course scheduling are analyzed, and a mathematical model of course scheduling is constructed based on the weight of course periods, the uniformity of class distribution, and classroom utilization indicators. The Genetic Algorithm (GA) is optimized using decimal coding and adaptive crossover and mutation, and Cauchy distribution perturbation and exponential temperature attenuation are introduced to improve the simulated annealing algorithm, forming IGA-ISA. Experiments show that in the Oliver30 and Barma14 calculation examples, the convergence times of this algorithm are 24 and 17 times, respectively, which are lower than those of other methods. At the same time, its deviation rate is only 0.64%. In the actual application test, the average running time of this algorithm is 175.6 s, which is lower than that of the comparison methods. Its average conflict rate is 2.5%, and its average classroom utilization rate is 96.4%, both of which are better than those of other methods. The above results show that the constructed IGA-ISA can improve the quality of course scheduling and provide technical solutions for intelligent course scheduling in colleges and universities.
Keywords: Course scheduling; genetic algorithm; simulated annealing algorithm; adaptive crossover mutation; cauchy distribution.
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Citation: Xu, B. (2026). An Intelligent Computer Course Scheduling Method Using IGA-ISA. Journal of Engineering, Project, and Production Management, 16(5), 2026-21.
