基于一类组织P系统的模拟移动床的多目标优化(英文)

The binaphthol enantiomers separation process using simulation moving bed technology is simulated with the true moving bed approach(TMB).In order to systematically optimize the process with multiple productive objectives,this article develops a variant of tissue P system(TPS).Inspired by general tissue P systems,the special TPS has a tissue-like structure with several membranes.The key rules of each membrane are the communication rule and mutation rule.These characteristics contribute to the diversity of the population,the conquest of the mul-timodal of objective function,and the convergence of algorithm.The results of comparison with a popular algorithm—the non-dominated sorting genetic algorithm 2(NSGA-2)illustrate that the new algorithm has satisfactory perform-ance.Using the algorithm,this study maximizes synchronously several conflicting objectives,purities of different products,and productivity.