A novel combination of the ant colony optimization algorithm (ACO)and computational fluid dynamics (CFD) data is proposed for modeling the multiphase chemical reactors. The proposed intelligent model presents a probabilistic computational strategy for predicting various levels of three-dimensional bubble column reactor (BCR) flow. The results prove an enhanced communication between ant colony prediction and CFD data in different sections of the BCR.

中文翻译：

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基于人工信息素的生物蚂蚁通讯预测鼓泡塔反应器中的流动特性

提出了蚁群优化算法（ACO）和计算流体动力学（CFD）数据的新型组合，用于对多相化学反应器进行建模。所提出的智能模型提出了一种概率计算策略，用于预测三维气泡塔反应器（BCR）流量的各个水平。结果证明，在BCR的不同区域中，蚁群预测和CFD数据之间的交流增强了。