Project title
Genetic Algorithm (GA) Toolkit
Project aim
The project goal was the development of a genetic algorithm-based scheduling system designed to optimise complex job scheduling tasks.
Project outline
The system integrates multiple GA operations, including crossover, mutation, and a multifaceted fitness function, within a user-centric interface that simplifies the input and real-time tracking of scheduling optimisations.
Through rigorous testing, the system demonstrated significant proficiency in generating optimised schedules, maintaining data integrity, and providing consistent results. The project’s objectives were successfully met, with the system proving its capability to address the nuanced demands of job scheduling.
Evaluation against initial requirements underscored its strengths in functionality and reliability, while also identifying performance scalability and visualisation as areas for further enhancement.
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