基于进化算法的常减压装置模拟

提出了基于优选优生进化算法（Select—best and prepotency evolution algorithm，SPEA）的常减压装置模拟方法。以各塔的温度分布为目标，基于生产过程和分析数据，采用SPEA确定各塔板Murphree效率，从而精确描述各塔板平衡偏离程度。在实际应用中，获得具有良好精度的常减压装置模型。系统分析了SPEA算法的关键参数——优选领域大小与计算复杂性及寻优性能之间的关系，结果显示其取值为群体规模的10％最为合适。

SIMULATION OF ATMOSPHERIC-VACUUM DISTILLATION UNIT BASED ON EVOLUTION ALGORITHM

A novel simulation method of atmospheric-vacuum distillation unit based on select-best and prepotency evolution algorithm(SPEA) was proposed.Based on the process and analysis data of the atmospheric-vacuum distillation unit,to aimed at the temperature distributiom in each column of the unit,SPEA was applied to determine the Murphree efficiency of each stage and to minimize the square summation of model's analog relative error of the stage temperature by adjustment stage efficiencies.The atmospheric-vacuum distillation unit model with good precision was developed.Further,the relationship between the computation time of CPU consumed by SPEA and the number of the individuals in the select-best neighborhood as well as the relationship between the optimization performance of SPEA and the number of the individuals in the select-best neighborhood were analyzed.The results showed that the best number of the individuals in the select-best neighborhood of SPEA equals to 10 percent of the number of the population.