Modeling Method for Complex Chemical Processes Using Hybrid DNA Genetic Algorithm

In the modeling of complex chemical process, it is often needed to consider multiple factors and constraints at the same time, which makes the solution of the problem more complicated and difficult. Aiming at the modeling problem of complex chemical process, this article studies the GA of hybrid DNA computing, and proposes a variety of new operators and hybrid DNA genetic algorithm (HDGA) with new operators. The proposed HDGA is applied to the modeling of complex chemical processes. Compared with the traditional GA, the superiority and effectiveness of this algorithm in solving complex chemical process modeling problems are verified. Through experiments, it is found that HDGA has obvious advantages in modeling and optimization of complex chemical processes, with faster solving speed and higher solving accuracy. Compared with the traditional GA, HDGA can make better use of the structural information of the problem, so as to search for a better solution in the global scope. In addition, HDGA has the advantages of improving the solution accuracy, which makes it play an important role in the sustainable development of chemical industry.