Research on Management and Students’ Innovation Ability Training Method Based on Swarm Optimization Algorithm

The research of training methods is critical in the management of college education and students' innovation ability, however it has an issue with erroneous performance positioning. The typical Ant colony algorithm is unable to address the innovation ability issue in the management of college education and students' innovation ability, and the result is insufficient. As a result, a Bee colony optimization algorithm-based tresearch on college education management and student innovation ability training method is provided, and research on college education management and student innovation ability training method is assessed. To begin, the swarm intelligence theory is used to discover the influencing elements, and the indicators are split based on the research of training method's needs to decrease interference factors in the research of training methods. The swarm intelligence theory is then used to create a Bee colony optimization algorithm research of training methods scheme, and the outcomes of the research of training methods are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Bee colony optimization algorithm outperforms the standard Ant colony algorithm in terms of research of training methods accuracy and time of influencing variables.