A metaheuristic approach of hybrid bee colony and simulated annealing combined with fuzzy model: Prediction of conversion and selectivity in C8H16 dimerization

In the present study, the metaheuristic approaches based on hybrid bee colony (BC) and simulated annealing (SA) algorithms have been developed to improve the fuzzy model performance based on the application of the optimum membership function parameters in 1-octene dimerization process. For this purpose, simulated annealing is exerted through the scout bee search process. In addition, the parameters of the proposed optimization methods are properly tuned to significantly improve the established model. In the present study, the effects of temperature, Weight Hourly Space Velocity (WHSV) and Time On Stream (TOS) on the conversion and dimer selectivity have been studied based on the proposed hybrid BCSA fuzzy model. The performance of the established model is compared with that of three proposed models (i.e. fuzzy model, conventional BC and SA fuzzy model). The results significantly reveal that the proposed hybrid BCSA fuzzy model has more accurate prediction ability with R2 of over 0.91.

Automated summary

In this study, metaheuristic approaches based on hybrid bee colony and simulated annealing algorithms were developed to improve the performance of the fuzzy model in the 1-octene dimerization process. The proposed hybrid BCSA fuzzy model demonstrated more accurate prediction ability compared to other models, with an R2 above 0.91, indicating significant improvement.