Project Title: Android-Based Multi-Constraint Intelligent Scheduling for Amateur Sports Competitions
Student: Qianyun Gong
Course: BSc Hons Computer Science with Artificial Intelligence
	
Abstract:
This project aims to provide an intelligent scheduling system to solve the problems of low efficiency and 
errorprone manual scheduling for amateur sports competitions. Compared with professional leagues, amateur 
sports often face the challenges of limited resources, uncertainty of the team number and available time, 
lack of advanced scheduling tools, etc. Therefore, an optimising Android app on mobile devices is implemented 
through this project combined with the simulated annealing algorithm to generate automatic solutions with 
high quality on the basis of satisfying multiple scheduling constraints. The system enables users to input 
the number of teams, venues, time slots, duration, and constraint preferences, improving user satisfaction 
and experience. The scheduling process includes initial solution generation and constraint-driven iterative 
optimisation. The objective function is evaluated and designed according to various soft constraints with a 
weighted penalty coefficient. In addition, the project passes all the tests for the pilot scenario and randomly 
generated scenarios, indicating its stability and extension. This study not only provides a convenient tool 
for grassroots event organisers but also has certain research and application value in the realization of mobile 
terminal optimization algorithms. Furthermore, the algorithm consistently generated high-quality feasible 
schedules within seconds, significantly outperforming manual scheduling in both speed and constraint satisfaction.