Hou Y., 2018, Parameter Prediction Model for Signal Reconstruction Fluctuating Operation State of Chemical Machinery Equipment Based on Ant Colony Algorithm, Chemical Engineering Transactions, 66, 727-732.
Exploring structure of parameter prediction model for signal reconstruction fluctuating operation state of chemical machinery equipment based on ant colony algorithm, and optimizing the global performance. After analyzing the process itself and establishing a list of all variables, to construct optimization mathematical model and obtain the problem solution, and then to analyze and verify the optimization result. Continuous multiple ant colony algorithm can be applied to continuous optimization problems, and it also has good global optimization performance. The pheromone distribution model is a key factor affecting the ant colony algorithm. To improve the accuracy of the ant colony algorithm's parameter prediction, a good pheromone distribution model should be designed.
