Title: Construction of course arrangement system for college sports teaching based on adaptive factor optimised SGA

Authors: Chunyu Yin; Li Shi

Addresses: PE Teaching and Research Department, Northwest University, Xi'an, 710105, China ' PE Teaching and Research Department, Shaanxi Youth Vocational College, Xi'an, 710105, China

Abstract: The course arrangement method for college sports teaching has problems of low efficiency and low quality of course arrangement. This study proposes an intelligent course arrangement method based on improved dual population genetic algorithm. Firstly, course arrangement problems are described, and mathematical model is built. Then, an improved dual population genetic algorithm is used to solve course arrangement problems of physical education teaching. Experimental results show that average running time, average classroom utilisation rate and average class time distribution balance of the proposed algorithm are 53.59 s, 96.42% and 0.9, respectively, which are better than those of intelligent course arrangement methods based on ant colony algorithm, firefly algorithm, particle swarm optimisation algorithm, and grey wolf optimisation time distribution, reduce the running time, and significantly improve the efficiency and quality of course arrangement.

Keywords: adaptive factor; dual population genetic algorithm; competition mechanism; college sports teaching; intelligent course arrangement.

DOI: 10.1504/IJCSM.2025.147086

International Journal of Computing Science and Mathematics, 2025 Vol.21 No.2, pp.91 - 108

Received: 12 Sep 2024
Accepted: 23 Jan 2025
Published online: 10 Jul 2025 *

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