萤火虫算法在化工过程优化中的应用

Application of Firefly Algorithm in Optimization of Chemical Production Process

近些年以来,以萤火虫算法为代表的群智能优化算法由于具有强大的寻优功能而得到了广泛的应用。在化工生产的过程中,采用萤火虫算法和Matlab语言对实际问题进行优化的同时还采用了苯-甲苯闪蒸过程对其进行了仿真计算。仿真结果表明,气相产物中苯的产量在有效的调节温度、压力以及分流系数的条件下能够达到最大,不仅实现了苯-甲苯闪蒸过程的最优化,同时还充分证明了在解决化工生产过程的优化问题上采用萤火虫算法是有效的。

In recent years, the swarm intelligence optimization algorithm represented by the firefly algorithm with powerful optimization seeking function has been widely used. In the process of chemical production, the actual problems are optimized by firefly algorithm and Matlab language, at the same time, and the simulation calculation is carried out by benzene-toluene flash process. The simulation results show that the output of benzene in the gaseous phase products can achieve maximum under the condition of effective regulation of temperature, pressure, and shunt coefficient, which not only realized the optimization of benzene-toluene flash process, but also fully demonstrated that it＆#39;s effective to solve the optimization problem in the process of chemical production with the firefly algorithm.