一种改进的遗传算法在间歇化工过程设计中的应用  

Application of an Improved Genetic Algorithm in the Design of Batch Chemical Process

作　　者：魏良霄 张婷[1] 党乐平[1] 郝琳[1] Wei Liangxiao;Zhang Ting;Dang Leping;Hao Lin(School of Chemical Engineering and Technology,Tianjin University,Tianjin 300072,China)

机构地区：[1]天津大学化工学院,天津300072

出　　处：《化学工业与工程》2020年第4期58-65,共8页Chemical Industry and Engineering

摘　　要：将遗传算法(Genetic Algorithm,GA)和回溯法相结合建立起数学模型对间歇化工过程进行设计,来达到减少设备投资并且提高设备利用率的目的。与一般的启发式方法相比,该模型的搜索范围大,精度高,更适合解决复杂的问题。并且引入自我优化机制和惩罚操作及时修正种群中出现的劣质基因,使种群能够顺利繁衍下去。结果表明,该模型在计算结果、收敛速度和计算速度方面得到了进一步优化。Optimizing management and design of production process is a top priority for all chemical factories to remain competitive in the global market.This paper proposed a model to reduce investment and improve equipment utilization of single product batch process.This model is implemented by combining genetic algorithm(GA)and heuristic method.Compared to general heuristic method,this model has a larger search space and higher precision,which makes it more suitable for solving complex problems.The self-optimization mechanism and punishment operation have been introduced to modify the inferior gene in the population in time,making the population survive smoothly.It is shown that the model has a better performance in terms of calculation results,convergence rate and calculation speed.

关 键 词：间歇过程 遗传算法 设备投资 设备利用率 

分 类 号：TQ015.9[化学工程]