Research on Airline Space Control Based on Ant Colony Algorithm

The study of cabin control is critical in airlines, however it has an issue with erroneous performance positioning. The typical Genetic algorithm is unable to address the inaccurate control positioning issue in airlines, and the result is insufficient. As a result, a Genetic algorithm-based airlines study of cabin control is provided, and the airlines study of cabin control is assessed. To begin, the optimal path theory is used to discover the influencing elements, and the indicators are split based on the study of cabin control's needs to decrease interference factors in the study of cabin control. The optimal path theory is then used to create a Genetic algorithm study of cabin control scheme, and the outcomes of the study of cabin control are thoroughly examined.