It is difficult to establish a mathematical model for determining the chemical composition of tobacco and the flavor of cigarette products. In this paper, a tobacco aroma ensemble classification method based on glowworm swarm optimization algorithm is proposed. First, we use the hybrid kernel SVM to train multiple individual support vector machines independently, and then we use the improved discrete firefly group optimization algorithm to select part of the higher precision and the difference between the larger individual classifier to participate in integration. Finally, the final classifica...
